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Solving the Inverse Kinematics Problem of Multiple Redundant Manipulators with Collision Avoidance in Dynamic Environments

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Abstract

This article presents an approach for collision-free kinematics of multiple redundant manipulators in complex environments. The approach describes a representation of task space and joint limit constraints for redundant manipulators and handles collision-free constraints by micromanipulator dynamic model and velocity obstacles. A new algorithm based on Newton-based and first-order techniques is proposed to generate collision-free inverse kinematics solutions. The present approach is applied in simulation for the redundant manipulators in a various working environments with dynamic obstacles. The physical experiments using a Baxter robot in a various working environments with dynamic obstacles are also performed. The results demonstrate the effectiveness of the proposed approach compared with existing methods regarding working environment and computational cost.

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Acknowledgements

This work has been supported by the National Natural Science Foundation of China [Project Number: 91848101] and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China [Grant Number: 51521003].

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Correspondence to Jingdong Zhao.

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Appendices

Appendix A: DH Parameters of Micromanipulator Dynamic Model and Right Arm Model

i/Sm

αi− 1/αm− 1(rad)

ai− 1/am− 1(m)

di/dm(m)

𝜃i/𝜃m (rad)

joint limit(rad)

rm(m)

0

0

0

0

− 0.7854

/

/

1

0

0.83288

0.129626

q 1

(− 1.7016, + 1.7016)

/

2

− 1.5708

0.069

0.27053

q 2

(− 2.147, + 1.047)

/

3

1.5708

0.102

0

q3 + 1.5708

(− 3.0541, + 3.0541)

/

S 1

0

0

0

0

/

0.08

S 2

0

0

0.128

0

/

0.07

S 3

0

0.069

0.134

0

/

0.085

4

− 1.5708

0

0

q4 − 1.5708

(− 0.05, + 2.618)

/

5

1.5708

0.10359

0

q5 + 1.5708

(− 3.059, + 3.059)

/

S 4

0

0

0

0

/

0.065

S 5

0

0

0.16641

0

/

0.065

6

− 1.5708

0.01

0.10359

q6 − 1.5708

(− 1.5707, + 2.094)

/

7

1.5708

0

0.115975

q7 + 1.5708

(− 3.059, + 3.059)

/

Appendix B: DH Parameters of the Human Model

A h

αh− 1(rad)

ah− 1(m)

dh(m)

𝜃h (rad)

rh(m)

A 1

0

0

0.7

0

0.1

A 2

0

0

− 0.25

0

0.08

A3(A6)

+ (−)1.5708

0

0.2

− (+)1.5708

0.08

A4(A7)

0

0

0.2

0

0.08

A5(A8)

0

0

0.15

0

0.07

Appendix C: DH Parameters of Sphere Obstacles and Left Arm Model

i/Ah

αi− 1/αh− 1(rad)

ai− 1/ah− 1(m)

di/dh(m)

𝜃i/𝜃h (rad)

joint limit(rad)

rh(m)

0

0

0

0

0.7854

/

/

1

0

0.83288

0.129626

q 1

(− 1.7016, + 1.7016)

/

2

− 1.5708

0.069

0.27053

q 2

(− 2.147, + 1.047)

/

3

1.5708

0.102

0

q3 + 1.5708

(− 3.0541, + 3.0541)

/

A 1

0

0

0

0

/

0.08

A 2

0

0

0.128

0

/

0.07

A 3

0

0.069

0.134

0

/

0.085

4

− 1.5708

0

0

q4 − 1.5708

(− 0.05, + 2.618)

/

5

1.5708

0.10359

0

q5 + 1.5708

(− 3.059, + 3.059)

/

A 4

0

0

0

0

/

0.065

A 5

0

0

0.16641

0

/

0.065

A 6

0

0.01

0.10359

0

/

0.075

6

− 1.5708

0

0

q6 − 1.5708

(− 1.5707, + 2.094)

/

7

1.5708

0

0.115975

q7 + 1.5708

(− 3.059, + 3.059)

/

A 7

0

0

0.015

0

/

0.055

A 8

0

0

0.124

0

/

0.055

A 9

0

0

0.115

0

/

0.055

Appendix D: DH Parameters of Sphere Obstacles and Kuka Arm Model

i/Ah

αi− 1/αh− 1(rad)

ai− 1/ah− 1(m)

di/dh(m)

𝜃i/𝜃h (rad)

joint limit(rad)

rh(m)

1

1.5708

0

0.36

q 1

(− 2.967, + 2.967)

/

2

− 1.5708

0

0

q 2

(− 2.094, + 2.094)

/

A 1

0

0

0

0

/

0.08

A 2

0

0

0.21

0

/

0.07

3

− 1.5708

0

0.21

q 3

(− 2.967, + 2.967)

/

4

1.5708

0

0

q 4

(− 2.094, + 2.094)

/

A 3

0

0

0

0

/

0.075

A 4

0

0

0

0.21

/

0.07

5

1.5708

0

0.19

q 5

(− 2.967, + 2.967)

/

6

− 1.5708

0

0

q 6

(− 2.094, + 2.094)

/

A 5

0

0

0

0

/

0.075

7

0

0

0.126

q 7

(− 2.967, + 2.967)

/

A 6

0

0

0

0.02

/

0.065

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Zhao, L., Zhao, J. & Liu, H. Solving the Inverse Kinematics Problem of Multiple Redundant Manipulators with Collision Avoidance in Dynamic Environments. J Intell Robot Syst 101, 30 (2021). https://doi.org/10.1007/s10846-020-01279-w

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