Trajectory planning for mobile manipulators with vibration reduction
Grzegorz Pająk
- Year
- 2021
- Citations
- 3
- Access
- Open access
Abstract
A new method of online trajectory planning for mobile manipulators using the extended Jacobian approach, taking into account state and control constraints, allowing the mobile manipulator to reduce the arm vibrations is presented. The proposed approach is based on the concept of virtual control which scales the trajectory preventing robot controls from changing rapidly and ensuring that the control constraints are fulfilled. The simulation results presenting the features of the developed algorithm have been shown. The effectiveness of the method in vibration reduction is confirmed by an experiment involving a KUKA youBot mobile robot.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002