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Task-Oriented Self-Imitation Learning for Robotic Autonomous Skill Acquisition Int. J. Hum. Robot. (IF 1.5) Pub Date : 2024-03-13 Chenyang Ran, Jianbo Su
The inferior sample efficiency of reinforcement learning (RL) and the requirement for high-quality demonstrations in imitation learning (IL) will hinder their application in real-world robots. To address this challenge, a novel self-evolution framework, named task-oriented self-imitation learning (TOSIL), is proposed. To circumvent external demonstrations, the top-K self-generated trajectories are
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Learning an Image-Based Visual Servoing Controller for Object Grasping Int. J. Hum. Robot. (IF 1.5) Pub Date : 2024-01-26 Shuaijun Wang, Lining Sun, Mantian Li, Pengfei Wang, Fusheng Zha, Wei Guo, Qiang Li
Adaptive and cooperative control of arms and fingers for natural object reaching and grasping, without explicit 3D geometric pose information, is observed in humans. In this study, an image-based visual servoing controller, inspired by human grasping behavior, is proposed for an arm-gripper system. A large-scale dataset is constructed using Pybullet simulation, comprising paired images and arm-gripper
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C-SQG: Cosine-Law-Based Spatially Quantized Gait Generation for Knee-stretched Biped Walking Int. J. Hum. Robot. (IF 1.5) Pub Date : 2024-01-24 Chaobin Zou, Rui Huang, Guangkui Song, Kecheng Shi, Zhinan Peng, Hong Cheng
Knee-stretched walking is desirable for biped robot because it is a characteristic of human walking as well as lower energy consumption. In this paper, we proposed a new knee-stretched bipedal walking pattern generation approach named Cosine-law-based Spatially Quantized Gait (C-SQG). C-SQG includes two parts, the first one is the Cosine law-based kinematic joint angles generation for knee-stretched
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Impact of Showing Robot Demonstration on Introducing Social Robotics Field to University Students Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-12-18 Muhammad Yeza Baihaqi, Sendren Sheng-Dong Xu
Despite the social robotics’ potential to revolutionize human life, the field of social robotics has been less appealing and less popular than other robotics fields in both industrial and research domains. Therefore, many students are unfamiliar with this field. To expedite the development of the social robotics sector, numerous efforts must be made, including introducing students to the topic. In
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Reference Motion Quality and Design Choices for Bipedal Walking with PPO Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-12-07 Marc Bestmann, Jianwei Zhang
This paper investigates the influence of reference motion quality and other design choices on the performance of deep reinforcement learning for bipedal walking with Proximate Policy Optimization (PPO). We use parametrized Cartesian quintic splines to generate reference actions for an omnidirectional walk policy. By using parameter sets with different qualities, we show that the performance of the
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Tracking Object’s Pose via Dynamic Tactile Interaction Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-11-29 Qiguang Lin, Chaojie Yan, Qiang Li, Yonggen Ling, Wangwei Lee, Yu Zheng, Zhaoliang Wan, Bidan Huang, Xiaofeng Liu
It is a challenging task to localize and track an in-hand object in robotic domain. Researchers were mainly using the vision as major modality for extracting object’s pose. The vision approaches are fragile when the object is occluded by the robotic arm and hand. To this end, we propose a tactile-based DTI-Tracker (tracking object’s pose via Dynamic Tactile Interaction) approach and formalize the object’s
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Humanoid Trajectory Optimization with B-Splines and Analytical Centroidal Momentum Derivatives Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-11-11 Alvaro Paz, Gustavo Arechavaleta
This paper presents efficient geometric algorithms to analytically evaluate the first- and second-order information of humanoid dynamics within a trajectory optimization scheme. In particular, the exact Hessians of the robot’s center of mass and the centroidal momentum are provided to the optimization solver for synthesizing dynamically feasible humanoid motions. The transcription method applies direct
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Accurate Perception and Association of Objects for Humanoid Robots Under Dynamic Visual SLAM Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-10-31 Kaiqi Chen, Jialing Liu, Qiyi Tong, Xu Cheng, Jianhua Zhang
Humanoid robots still have a low-level perception of their surroundings, which is a formidable obstacle to performing complex tasks. To improve their perceptual capabilities, high-level semantic information can be incorporated into their perceptual framework so that they can gain the ability to infer and understand their environment accurately. Among the various techniques available, semantic Simultaneous
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Application and Improvement of MFCC in Gesture Recognition with Surface Electromyography Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-10-25 Shiwei Zhu, Daomiao Wang, Qihan Hu, Hong Wu, Fanfu Fang, Yixi Wang, Cuiwei Yang
As a physiological signal reflecting the state of muscle activation, surface electromyography (sEMG) plays a vital role in the assessment of neuromuscular health, human–computer interaction, and gait analysis. Inspired by the audio signal analysis outcome that features extracted with Mel Frequency Cepstral Coefficient (MFCC) empower better representation, this paper proposes a comparative study of
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Design and Control of a Novel Hydraulic-Driven Humanoid Hand Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-09-30 Zhenguo Tao, Xu Li, Haibo Feng, Yili Fu
The robots with humanoid hands can take the place of humans in carrying objects and using tools efficiently in different situations. This paper presents a novel hydraulic-driven robotic hand named the WLRH-II (the second-generation wheel-legged robot humanoid hand) which bears heavy load and has strong robustness. This paper focuses on the design of humanoid hand driving and transmission mechanisms
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Advancements in Agricultural Automation: A Comprehensive Review of Artificial Intelligence and Humanoid Robotics in Farming Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-09-26 Arockia Selvakumar Arockia Doss, Abarna Jeyabalan, Priti Rekha Borah, Pavan Kalyan Lingampally, Ing. Daniel Schilberg
This paper discusses about the modern techniques implemented in the field of agriculture which shaped the traditional farming to the smart farming (Agriculture 4.0). The rapid rise in the global population is one among the main reasons, besides monitoring of crops health and yield requires a huge labor force, which is also another reason for promoting intelligent systems into agriculture sector. Conventional
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Robust Walking and Running Gaits for Biped Robots with a QP-Based Whole-Body Controller Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-09-22 Qiuyue Luo, Yongsheng Ou, Jianxin Pang, Ligang Ge, Chunjiang Fu
This paper presents a new control approach for a humanoid biped robot to perform highly dynamic locomotion and keep balance under large external disturbances. The proposed control approach mainly contains two parts: a simplified model-based task planner and an online whole-body controller. The periodic stability is achieved with a foot placement policy presented in this paper. The landing position
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Reinforcement Learning-Based Approach to Robot Path Tracking in Nonlinear Dynamic Environments Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-09-21 Wei Chen, Zebin Zhou
To address the issue of error-prone and unstable trajectory tracking and dynamic obstacle avoidance of mobile robots in locally observable nonlinear dynamic settings, a deep reinforcement learning (RL)-based visual perception, and decision-making system is proposed. The technique creates a closed loop between the system’s environmental perception and decision-making capabilities by combining the perceptual
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A Heuristics-Based Reinforcement Learning Method to Control Bipedal Robots Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-09-15 Daoling Qin, Guoteng Zhang, Zhengguo Zhu, Teng Chen, Weiliang Zhu, Xuewen Rong, Anhuan Xie, Yibin Li
A new method is proposed to control bipedal robots to achieve flexible omni-directional motion and robust locomotion under complex disturbances, called the heuristics-based reinforcement learning (HBRL) framework. HBRL shows great training efficiency in simulation. Heuristic reference trajectories play a crucial role in HBRL, which guide the training process. Exploration rewards, leg-foot reset condition
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Analysis and Optimization of Gait Cycle of 25-DOF NAO Robot Using Particle Swarm Optimization and Genetic Algorithms Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-08-19 Pushpendra Gupta, Dilip Kumar Pratihar, Kalyanmoy Deb
The gait cycle of 25-degree of freedom (DOF) humanoid robot, namely NAO robot, consists of single support phase (SSP) and double support phase (DSP). Both dynamic and stability analyses are carried out for this robot to determine its power consumption and dynamic stability margin, respectively. Constrained single-objective optimization problems are formulated for the SSP and DSP separately and solved
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Robotic Grasp Pose Detection Method Based on Multiscale Features Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-08-03 Zheng Wang, Longlong Leng, Xianming Zhou, Yanwei Zhao
A robotic grasp detection algorithm based on multiscale features is proposed for autonomous robotic grasping in an unstructured environment. The grasp detection model borrowed the YOLOv3 object detection algorithm and retained the original idea of multiscale detection to improve the perception ability of the grasp rectangle on different scales. Squeeze and excitation blocks were embedded into the Residual
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When Deep is not Enough: Towards Understanding Shallow and Continual Learning Models in Realistic Environmental Sound Classification for Robots Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-07-27 Omar Eldardeer, Francesco Rea, Giulio Sandini, Doreen Jirak
Although deep learning models are state-of-the-art models in audio classification, they fall short when applied in developmental robotic settings and human–robot interaction (HRI). The major drawback is that deep learning relies on supervised training with a large amount of data and annotations. In contrast, developmental learning strategies in human–robot interaction often deal with small-scale data
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Gait Recognition Based on Minirocket with Inertial Measurement Units Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-07-27 Jianjun Yan, Weixiang Xiong, Li Jin, Jinlin Jiang, Zhihao Yang, Jiangtao Shi, Shuai Hu
Gait recognition is one of the key technologies for exoskeleton robot control. The recognition accuracy and robustness of existing gait recognition methods cannot well meet the needs of real-time control. There is still room for improvement in fine-grained gait recognition. In this regard, this paper proposes a gait recognition method based on the MiniRocket and inertial measurement units. In this
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Stable Walking Feedback Control for a Self-Balanced Lower Limb Exoskeleton for Paraplegics Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-07-26 Jinke Li, Dingkui Tian, Jianquan Sun, Meng Yin, Zhuo Wang, Xinyu Wu
Self-Balanced lower limb exoskeleton (SBLLE) is designed for rehabilitation and walking assistance for dyskinesia persons with spinal or lower limb muscle injury to regain the locomotion ability in daily activities. In this paper, an innovative feedback control strategy for a fully actuated SBLLE is presented, which helps users to walk stably without crutches or other assistive devices. Exoskeleton
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Dynamic Posture Stabilization Of Humanoid Robot NAO Using 3D-Multilinked Dual Spring-Loaded Inverted Pendulum Model for Uneven and Inclined Floor Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-07-20 Abhishek Kumar Kashyap, Dayal R. Parhi
Gait pattern performance, for its crucial significance in humanoid robot stabilization, has attracted the attention of researchers worldwide. Although simplified models highlight major features, bipedal walking has bewildered the researchers. Therefore, for a precise understanding of the bipedal model, a state-of-the-art, simplified model has been proposed in this paper which comprises a 3D-multilinked
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Design a Four-Bar Mechanism for Specific Upper Limb Muscle Strength Rehabilitation Using Genetic Algorithm Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-07-13 Joel Quarnstrom, Rahid Zaman, Yujiang Xiang
In this study, a novel human-in-the-loop design method using a genetic algorithm (GA) is presented to design a low-cost and easy-to-use four-bar linkage medical device for upper limb muscle rehabilitation. The four-bar linkage can generate a variety of coupler point trajectories by using different link lengths. For this medical device, patients grab the coupler point handle and rotate the arm along
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Person Re-Identification Based on Feature Fusion in AI System Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-05-11 Sixian Chan, Yating Liu, Xiaotian Pan, Yanjing Lei
In recent years, jointly utilizing local and global features to improve model performance is becoming an important approach for person re-identification. If the relationship between body parts is not considered, it is easy to confuse the identity differentiation of different persons with similar attributes in the corresponding parts. To solve this problem, we propose a feature fusion-based method for
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A Novel Low-Cost ZMP Estimation Method for Humanoid Gait using Inertial Measurement Devices: Concept and Experiments Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-03-13 Ratan Das, Ahmed Chemori, Neelesh Kumar
Estimation and control of zero-moment point (ZMP) is a widely used concept for planning the locomotion of bipedal robots and is commonly measured using integrated joint angle encoders and foot force sensors. Contemporary methods for ZMP measurement involve built-in contact sensors such as joint encoders or instrumented foot force sensors. This paper presents a novel approach for computing ZMP for a
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Socially Assistive Robots’ Deployment in Healthcare Settings: A Global Perspective Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-03-10 Laura Aymerich-Franch, Iliana Ferrer
One of the major areas where social robots are finding their place in society is for healthcare-related applications. Yet, very little research has mapped the deployment of socially assistive robots (SARs) in real settings. By using a documentary research method, we traced back 279 experiences of SARs deployments in hospitals, elderly care centers, occupational health centers, private homes, and educational
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The Effects of Robot Voices and Appearances on Users’ Emotion Recognition and Subjective Perception Int. J. Hum. Robot. (IF 1.5) Pub Date : 2023-02-22 Sangjin Ko, Jaclyn Barnes, Jiayuan Dong, Chung Hyuk Park, Ayanna Howard, Myounghoon Jeon
As the influence of social robots in people’s daily lives grows, research on understanding people’s perception of robots including sociability, trust, acceptance, and preference becomes more pervasive. Research has considered visual, vocal, or tactile cues to express robots’ emotions, whereas little research has provided a holistic view in examining the interactions among different factors influencing
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On the Influence of Social Robots in Cognitive Multitasking Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-12-22 Motonobu Aoki, Francesco Rea, Doreen Jirak, Giulio Sandini, Takura Yanagi, Atsushi Takamatsu, Stephane Bouet, Tomohiro Yamamura
Designing a humanoid robot to assist in performing cognitive multitasking is not straightforward, as the robot’s communication itself could interfere with humans’ concentration on the tasks. Therefore, we focused on the social facilitation effect caused by the presence of social robots. According to our study, a social robot that expressed its willingness to collaborate in a positive manner and provided
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Walking Speed Control of Planar Bipedal Robot with Phase Control Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-12-14 Erman Selim, Musa Alci
In this study, we aim to provide the dynamic walking of a five-link planar bipedal robot without the need for optimization and regardless of initial conditions. Since bipedal robots are underactuated systems, classical control methods cannot be applied. Joint trajectories must be determined to control the robot. The trajectories that will allow the biped robot to walk can be derived with a trajectory
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Using Hebbian Learning for Training Spiking Neural Networks to Control Fingers of Robotic Hands Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-12-14 George-Iulian Uleru, Mircea Hulea, Vasile-Ion Manta
Adaptability is one of the main characteristics of the bio-inspired control units for the anthropomorphic robotic hands. This characteristic provides the artificial hands with the ability to learn new motions and to improve the accuracy of the known ones. This paper presents a method to train spiking neural networks (SNNs) to control anthropomorphic fingers using proprioceptive sensors and Hebbian
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Artificial Intelligence Combined with Deep Learning in Film and Television Quality Education for the Youth Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-26 Dong Huang, Jong Hoon-Yang
Today, with the rapid development of science and technology, the value of education is more and more valued by people, but the research and development of quality education in film and television are still relatively traditional. The objective is to explore the application and effect of the combination of artificial intelligence and deep learning algorithm in the quality education of youth film and
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Applying Artificial Intelligence Technology to Analyze the Athletes’ Training Under Sports Training Monitoring System Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-23 Li Tan, Ningpei Ran
With the rapid development of artificial intelligence, the related technologies and applications that accompany it emerge as the times require. The industry based on artificial intelligence is booming. Image recognition and target tracking technology are widely used in various fields, especially in the fields of security monitoring and augmented reality. Combined with the characteristics of athletes’
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Artificial Intelligence-Oriented User Interface Design and Human Behavior Recognition based on Human–Computer Nature Interaction Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-23 Xiao Han, Dong Huang, Sang Eun-Lee, Jong Hoon-Yang
This work is to explore the application of intelligent algorithms based on deep learning in human–computer interaction systems, hoping to promote the development of human–computer interaction systems in the field of behavior recognition. Firstly, the design scheme of the human–computer interaction system is presented, and the establishment of the robot visual positioning system is emphasized. Then
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Reinforcement Learning for Bipedal Gait with MAX-E2 Humanoid Robot Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-23 David Yanguas-Rojas, Eduardo Mojica-Nava, Alben Cardenas
We consider the whole-body humanoid gait control model via reinforcement learning, where an initial predefined parametric gait policy is optimized by employing the augmented random search algorithm realizing most of the experiments in simulation and verifying the results onto the real robot. In our proposal, we take into account the reality gap problem, also known as Sim to real problem, for the development
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The Application of Interactive Humanoid Robots in the History Education of Museums Under Artificial Intelligence Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-21 Kuan Yang, Hongkai Wang
The purpose is to improve the application of museum robots in museum scenes, enhance the service capabilities of robots in museums, break tourists’ boring concepts of museum environment, manual explanation, services, etc., and promote tourists’ exhibition experience. A method for sentiment analysis of humanoid robots in museums is proposed by studying the transformation of museums with the help of
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Intelligent Image Processing Technology for Badminton Robot under Machine Vision of Internet of Things Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-21 Haishan Ye
The present work aims to promote the development of intelligent image processing technology for badminton robots and optimize the application effect of badminton robots in national fitness. Firstly, the problems and common needs of the badminton robot currently in use are investigated. Secondly, a shuttlecock aerodynamic model is established to simulate the effects of air resistance and gravity on
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Optimized System Identification of Humanoid Robots with Physical Consistency Constraints and Floating-based Exciting Motions Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-11-19 Astra Chun-Hui Lee, Huan-Kun Hsu, Han-Pang Huang
Generally, robots are initially designed via computer-aided software to obtain their parameters. However, the given parameters are not entirely true due to their unmodeled parts; therefore, system identification is needed, and physical conditions are crucial to guarantee feasible solutions. This study uses a quadratic programming regression model accompanied by physical consistency constraints and
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Whole-Body Compliant Control of Robot Arms Based on Distributed Flexible Tactile Electronic Skin Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-09-12 Bin He, Hao Liu, Caiyue Xu, Yafei Wang, Ping Lu, Yanmin Zhou
Robots are now working outside of industrial fences more and more closely with humans. Safety is the primary requirement for intimate human–robot interactions. Contacts could happen at any and multipoints of robot. Tactile sensors have great potentials for contact sensing. However, their implementation for the whole-body compliance of robots upon unknown contacts is still challenging. In this work
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Task-Oriented Real-Time Optimization Method of Dynamic Force Distribution for Multi-Fingered Grasping Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-09-02 Ziqi Liu, Li Jiang, Bin Yang
The dynamic force distribution is significant in multi-fingered hand operation. It is essential to choose the appropriate contact force between fingers and object to ensure both stability and power consumption requirements corresponding to the specific task. We describe nonlinear contact force distribution problems as smooth manifold optimization problems corresponding to a linearly constrained positive
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Deep Dexterous Grasping of Novel Objects From a Single View Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-08-17 Ümit Ruşen Aktaş, Chao Zhao, Marek Kopicki, Jeremy L. Wyatt
Dexterous grasping of a novel object given a single view is an open problem. This paper makes several contributions to its solution. First, we present a simulator for generating and testing dexterous grasps. Second, we present a dataset, generated by this simulator, of 2.4 million simulated dexterous grasps of variations of 294 base objects drawn from 20 categories. Third, we combine an existing approach
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International Art Design Talents-oriented New Training Mode Using Human–Computer Interaction based on Artificial Intelligence Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-27 Ling Zhao
The research expects to promote “artificial intelligence (AI) + Education” and cultivate high-quality art design talents with international perspectives. First, random sampling recruits 100 Art Design sophomores in a university and divides them into a test group and a control group. The Questionnaire Survey (QS) is used to obtain research data, including students’ satisfaction with the curriculum,
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A Novel Object Recognition Algorithm Based on Improved YOLOv5 Model for Patient Care Robots Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-09 Yina Wang, Guoqiang Fu
The rapid development of computer vision raises a new research area involving patient care robots. Such robotic systems require fast target recognition at long ranges, where detecting smaller objects is notoriously challenging due to the cameras’ low resolution and noise. Spurred by these concerns, this paper develops a novel object recognition algorithm that solves these problems. Specifically, we
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Adoption of Artificial Intelligence Along with Gesture Interactive Robot in Musical Perception Education Based on Deep Learning Method Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-08 Chao Zhang, Huizi Li
The present work aims to improve students’ interest in music teaching and promote modern teaching. A distributed application system of artificial intelligence gesture interactive robot is designed through deep learning technology and applied to music perception education. First, the user’s gesture instruction data is collected through the double channel convolution neural network (DCCNN). It uses the
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Exploring the Caricature Style Identification and Classification Using Convolutional Neural Network and Human–Machine Interaction Under Artificial Intelligence Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-08 Li Wang, Jaewoong Kim
The objectives are to explore the application effect of deep learning (DL), neural network (NN) and human–machine interaction (HMI) technology in caricature style recognition and classification in the environment of artificial intelligence (AI). It provides a realistic basis for the integration of caricature and AI technology. The convolutional neural network (CNN) model is optimized, and the ARtoolkit
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Application of Three-Layer Stacked LSTM Model Assisted by Educational Robots in Children’s Learning Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-08 Lixuan Che, Yuanyuan Zuo, Liping Zhang
To enable educational robots to better accompany children’s learning and growth, first, the encoder part of the image description model is established based on the convolutional neural network (CNN), and the decoder part of the image description model is built by the long short-term memory (LSTM). The attention mechanism is combined with the input stage, LSTM, and the output stage of the model. Second
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The Establishment and Optimization of Public Emotion Network Communication Model using Deep Learning Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-07-06 Yating Zhang, Bin Dai, Yuan Zhong
This work aims to construct and optimize the public emotion network communication model under the artificial intelligence (AI) environment and provide a new research direction for exploring public emotion network communication with intelligent human–computer interaction (HCI). The main challenge of this research is the lack of interactivity of intelligent human–computer expression design, and the accuracy
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Design and Performance of a LARMbot PK Arm Prototype Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-06-29 Axel Fort, Med Amine Laribi, Marco Ceccarelli
This paper presents design and performance of a prototype of new humanoid arm that has been developed at the LARM2 laboratory of the University of Rome “Tor Vergata”. This new arm, called LARMbot PK arm, is an upper limb that is designed for the LARMbot humanoid robot. LARMbot is a humanoid robot designed to move freely in open spaces, and able to adapt to task environment. Its objective is to transport
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Robot Translation Based on Computer Vision for Cultural Psychology of English Culture Education Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-06-29 Xue Zheng
Individuals use language in a wide range of contexts. It is a major part of the culture. Teaching students how to speak English in a different manner requires adopting cultural attitudes and behaviors. This learning style has a tremendous sense of belonging, community, and intent. In addition, it motivates learners to create a difference in their neighborhoods and communities around the world. A simple
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A Bayesian Deep Learning Network System Based on Edge Computing Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-06-04 Lei Liu
According to a study of health centers across the country, the physical health state is evaluated through a log-based, multi-access physical monitoring program and the accompanying challenges they face in their lifestyle. The deficiency of important nutrients is causing organ degradation, which in turn causes a wide range of health issues, especially for newborns, children, and adults. The physical
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Responsive Policy Decisions for Improving the Accuracy of Medical Data Analysis in Healthcare-Based Human–Machine Interaction Systems Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-05-18 Ahmed Altameem, M. Shaheer Akhtar, Torki Altameem, H. Fouad, Sukumaran Anil, Young Soon Kim, Ahmed E. Youssef
Human–computer interaction (HCI) is deployed in various real-time applications, including healthcare, for automated patient response. In such applications, robot-assisted interactive scenarios are modeled to handle patient queries and provide precise information. Timely query sensing and accurate data analysis are required to achieve accurate patient responses. In this study, responsive policy decision
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Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-05-18 Guoyu Zuo, Zichen Xu, Gao Huang
Efficient and collision-free coordination of two robot arms is increasingly needed in various service-oriented robotic applications. This paper proposes a dual arm coordination algorithm to improve the efficiency of coordination by considering both robot’s actions and operating sequences of the tasks that need to use two arms to complete complex operations. Teleoperation demonstration is first performed
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Investigation of Intelligent Substation Inspection Robot by Using Mobile Data Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-05-13 Zhixian Qin, Zhao Dan Xu, Quan Cai Sun, Parthasarathy Poovendran, P. Balamurugan
Substation equipment inspection is essential for the power industry. The expansion of the smart grid scale improves the transmission capacity and enhances the likelihood of power plant facilities failure. To ensure the safety of the electric power supply, it is essential to inspect substation equipment. Metal commercial equipment can be traversed by remote inspection robots equipped with magnetic wheels
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Could NAO Robot Function as Model Demonstrating Joint Attention Skills for Children with Autism Spectrum Disorder? An Exploratory Study Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-05-11 Hoang-Long Cao, Ramona E. Simut, Noralie Krepel, Bram Vanderborght, Johan Vanderfaeillie
Previous studies reported that children with autism spectrum disorder (ASD) show a certain interest in social robots. This makes social robots potential to be a model to teach social skills. This exploratory study aims to investigate whether three types of joint attention skills (i.e., eye-contact, pointing, gaze-following) could be improved for five preschoolers with ASD using an evidence-based robot-modeling
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Human–Robot Interactive Communication and Cognitive Psychology Intelligent Decision System Based on Artificial Intelligence — Case Study Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-28 Xingyun Gong, Xiaojun Li
Cognitive psychology is a science of human knowledge, which means that people perceive, acquire, memorize, think, and comprehend intellectual capabilities. The psychological strategy involves controlling every action and status of the human body. The problematic states of psychological facts include mental disorders like depression, stress, anxiety, and inferiority complex, leading to memory loss.
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Technological Implication of the Digital Twin Approach on the Intelligent Education System Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-21 Minghong She, Min Xiao, Yongchi Zhao
The new area of education has progressively become where virtual reality interacts and integrates. The influence of credit management in the learning process is improved by digital twin technology. The next study paradigms of learning space will be the reconstruction of smart learning spaces based on digital twins. Hence, this paper, Digital Twin Approach (DTA), has been proposed to reconstruct the
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Design and Research of Computer-Aided English Teaching Methods Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-13 Bing Li
Design of intelligent research systems is considered as one of the most prominent developments in multi-modal information domains in our day-to-day life. While significant growth in computer-aided English teaching methods (CAETMs) has made a progression over the past few years using techniques such as computational intelligence, biological computing aspects within the artificial intelligence domain
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Application of Human–Computer Interaction Virtual Reality Technology to the Design of Ice and Snow Landscapes Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-06 Mengtao Xu
Various artistic expressions of ice and snow landscapes are deeply loved by the public. To study the application of virtual reality (VR) technology in the design of ice and snow landscape based on human–computer interaction (HCI), Harbin ice and snow landscape is taken as the research object. By applying HCI technology and VR technology, the design of ice and snow landscape is explored. VR technology
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Collision Reduction Walking for Lower Limb Exoskeletons Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-06 Long Zhang, Chaobin Zou, Guangkui Song, Hong Cheng, Rui Huang, Jing Qiu
Lower limb exoskeletons have received considerable interest in strength augmentation, rehabilitation, and walking assistance scenarios. For walking assistance, repetitive and excessive foot-ground impact makes the patient uncomfortable and even leads to secondary damage. In this paper, variable stiffness ankles are used for collision reduction walking, based on which the Step Length-depended Variable
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Modeling and Simulation of Reinforcement Mechanism in Preventing the Dysfunction of a Bellow-Like Artificial Muscle Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-04 Ze Wu, Jingtao Lei
Most artificial muscles currently in existence driven by negative pressure are in the form of origami. Their contractions are directly attained by extracting the air internal, and obtaining a differential pressure with the external (0.101MPa). During contraction, the artificial muscle simultaneously encounters radial and axial pressures provided by the atmosphere. If the muscle is isotropic, the radial
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Analysis of Art Therapy for Children with Autism by Using the Implemented Artificial Intelligence System Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-04-04 Bo Hu
Autism is a disease that manifests as social communication disorders and repetitive sensory movements. The current incidence of autism continues to rise globally, and the number of children with autism is also increasing. The treatment of autistic children in China is mainly intervention, but experienced autism instructors are lacking. Here, machine learning and artificial intelligence (AI) algorithms
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Humanoids’ Feet: State-of-the-Art & Future Directions Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-03-30 Irene Frizza, Ko Ayusawa, Andrea Cherubini, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture
Robotic feet play a fundamental role in the walking performance of a biped robot. Feet are essential to maintain dynamic stability and to propel the body during walking. They may ensure stability on uneven terrains. Yet, complex feet are seldom used on humanoids. This paper surveys 36 types of robotic feet we found in the literature. We classified them according to strategy, capabilities, structure
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Optimizing Vertical Jumping Height of Single-Legged Robots with Passive TOE Joints Using the Genetic Algorithm Int. J. Hum. Robot. (IF 1.5) Pub Date : 2022-03-12 Mohammad Mahdi Moslemi, Majid Sadedel, Majid Mohammadi Moghadam
Legged robots have been interesting for researchers because they can move on uneven terrain and operate in dangerous areas for humans. Among these robots, the single-legged robot is an excellent choice to study because they are simpler than another legged robot. In this paper, we have designed a single-legged robot similar to the anatomy of the human leg. It consists of four active joints and one passive