Approximate hybrid model predictive control for multi-contact push recovery in complex environments
Feedback control of robotic systems interacting with the environment through contacts is a central topic in legged robotics. One of the main challenges posed by this problem is the choice of a model sufficiently complex to capture the discontinuous nature of the dynamics but simple enough to allow o...
Main Authors: | Marcucci, Tobia, Deits, Robin Lloyd Henderson, Gabiccini, Marco, Bicchi, Antonio, Tedrake, Russell L |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
IEEE
2020
|
Online Access: | https://hdl.handle.net/1721.1/125695 |
Similar Items
-
Feedback design for multi-contact push recovery via LMI approximation of the Piecewise-Affine Quadratic Regulator
by: Han, Weiqiao, et al.
Published: (2021) -
Efficient mixed-integer planning for UAVs in cluttered environments
by: Deits, Robin Lloyd Henderson, et al.
Published: (2016) -
LVIS: Learning from Value Function Intervals for Contact-Aware Robot Controllers
by: Deits, Robin Lloyd Henderson, et al.
Published: (2021) -
Feedback design for multi-contact push recovery via LMI approximation of the Piecewise-Affine Quadratic Regulator
by: Han, Weiqiao, et al.
Published: (2021) -
Footstep planning on uneven terrain with mixed-integer convex optimization
by: Deits, Robin Lloyd Henderson, et al.
Published: (2016)