Explicit control laws for the periodic motion planning of controllable driftless systems on SU(n)

Author(s):  
H. B. Silveira ◽  
P. S. Pereira da Silva ◽  
P. Rouchon
2006 ◽  
Vol 55 (11) ◽  
pp. 900-907 ◽  
Author(s):  
A. Shiriaev ◽  
A. Robertsson ◽  
J. Perram ◽  
A. Sandberg

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Liang Li ◽  
Yuegang Tan ◽  
Zhang Li

This paper develops nonholonomic motion planning strategy for three-joint underactuated manipulator, which uses only two actuators and can be converted into chained form. Since the manipulator was designed focusing on the control simplicity, there are several issues for motion planning, mainly including transformation singularity, path estimation, and trajectory robustness in the presence of initial errors, which need to be considered. Although many existing motion planning control laws for chained form system can be directly applied to the manipulator and steer it to desired configuration, coordinate transformation singularities often happen. We propose two mathematical techniques to avoid the transformation singularities. Then, two evaluation indicators are defined and used to estimate control precision and linear approximation capability. In the end, the initial error sensitivity matrix is introduced to describe the interference sensitivity, which is called robustness. The simulation and experimental results show that an efficient and robust resultant path of three-joint underactuated manipulator can be successfully obtained by use of the motion planning strategy we presented.


2011 ◽  
Vol 42 (5) ◽  
pp. 829-838 ◽  
Author(s):  
Iliana M. Meza-Sánchez ◽  
Luis T. Aguilar ◽  
Anton Shiriaev ◽  
Leonid Freidovich ◽  
Yury Orlov

Robotica ◽  
2021 ◽  
pp. 1-26
Author(s):  
Jai Raj ◽  
Krishna Raghuwaiya ◽  
Bibhya Sharma ◽  
Jito Vanualailai

SUMMARY This paper addresses the motion planning and control problem of a system of 1-trailer robots navigating a dynamic environment cluttered with obstacles including a swarm of boids. A set of nonlinear continuous control laws is proposed via the Lyapunov-based Control Scheme for collision, obstacle, and swarm avoidances. Additionally, a leader–follower strategy is utilized to allow the flock to split and rejoin when approaching obstacles. The effectiveness of the control laws is demonstrated through numerical simulations, which show the split and rejoin maneuvers by the flock when avoiding obstacles while the swarm exhibits emergent behaviors.


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