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Motion analysis and stability optimization for metamorphic robot reconfiguration

Published online by Cambridge University Press:  29 November 2022

Jun Liu*
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
Xiaodong Ruan
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
Mingming Lu
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
Huajian Weng
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
Di Wu
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
Minyi Zheng
Affiliation:
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China
*
*Corresponding author. E-mail: ljun@hfut.edu.cn
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Abstract

Metamorphic robots are a new type of unmanned vehicle that can reconfigure and morph between a car mode and a biped walking machine mode. Such a vehicle is superior in trafficability because it can drive at high speeds on its wheels on structured pavement and walk on its legs on unstructured pavement. An engineering prototype of a metamorphic robot was proposed and designed based on the characteristics of wheeled–legged hybrid motion, and reconfiguration planning of the robot was conducted. A kinematics model of the reconfiguration process was established using the screw theory for metamorphic robots. To avoid component impact during the rapid global reconfiguration and achieve smoothness of the reconfiguration process, a rotation rule for each rotating joint was designed and the kinematics model was used to simulate and validate the motion of the system’s end mechanism (front frame) and the entire robot system. Based on the kinematics model and the rotation rules of the rotating joints, a zero-moment point (ZMP) calculation model of the entire robot mechanism in the reconfiguration process was established, and the stability of the reconfiguration motions was evaluated based on the ZMP motion trajectory. The foot landing position was optimized to improve the robot’s stability during the reconfiguration. Finally, the smoothness and stability of the reconfiguration motion were further validated by testing the prototype of the metamorphic robot.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. Three-dimensional model structure of the metamorphic robot.

Figure 1

Figure 2. Configuration modes of the metamorphic robot: (a) car mode, (b) support mode, and (c) humanoid mode.

Figure 2

Figure 3. Schematic diagram of the joint motions of the metamorphic robot.

Figure 3

Table I. Structural parameters of the metamorphic robot.

Figure 4

Figure 4. Relationship between the rotation angle of the lifting joint and the stroke of the electric push rod.

Figure 5

Figure 5. Acceleration of the center of mass of the front frame in the X- and Z-directions.

Figure 6

Figure 6. Jerk of the center of mass of the front frame in the X- and Z-directions.

Figure 7

Figure 7. Acceleration of the center of mass of the entire robot in the X- and Z-directions.

Figure 8

Figure 8. Jerk of the center of mass of the entire robot in the X- and Z-directions.

Figure 9

Figure 9. Schematic diagram of the optimal design of the foot landing position: (a) schematic of the leg mechanism and (b) support region for the reconfiguration process.

Figure 10

Figure 10. Flowchart of the particle swarm optimization (PSO) algorithm.

Figure 11

Figure 11. Zero-moment point (ZMP) of the entire robot during the reconfiguration process after the optimization.

Figure 12

Figure 12. Trajectories of the centers of mass of the (a) front frame and (b) entire robot in the ZX plane.

Figure 13

Figure 13. $X_{zmp}$ for the entire robot during the reconfiguration before and after the optimization.

Figure 14

Figure 14. Reconstruction test of the metamorphic robot: (a) car mode and (b) humanoid mode.

Figure 15

Figure 15. Acceleration of the centers of mass of the (a) front frame and (b) entire robot along the X- and Z-axes.

Figure 16

Figure 16. $X_{zmp}$ for the entire robot during the reconfiguration before and after the optimization.

Figure 17

Figure 17. Variation curve of front frame pitch angle.