arrow
Return

Robust Quadrupedal Jumping With Impact-Aware Landing: Exploiting Parallel Elasticity

delete2024-01-01
delete3
PRE
AI
J
Jiatao Ding *
V
Vassil Atanassov
E
Edoardo Panichi
J
Jens Kober
C
Cosimo Della Santina
DOI:10.1109/TRO.2024.3411988delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Introducing parallel elasticity in the hardware design endows quadrupedal robots with the ability to perform explosive and efficient motions. However, for this kind of articulated soft quadruped, realizing dynamic jumping with robustness against system uncertainties remains a challenging problem. To achieve this, we propose an impact-aware jumping planning and control approach. Specifically, an offline kino-dynamic-type trajectory optimizer is first formulated to achieve compliant 3-D jumping motions, using a novel actuated spring-loaded inverted pendulum (SLIP) model. Then, an optimization-based online landing strategy, including preimpact leg motion modulation and postimpact landing recovery, is designed. The actuated SLIP model, with the capability of explicitly characterizing parallel elasticity, captures the jumping and landing dynamics, making the problem of motion generation/regulation more tractable. Finally, a hybrid torque control consisting of a feedback tracking loop and a feedforward compensation loop is employed for motion control. Experiments demonstrate the ability to accomplish robust 3-D jumping motions with stable landing and recovery. Besides, our approach can be applied to quadrupedal robots with or without additional parallel compliance.
Keywords:
Robots
Quadrupedal robots
Legged locomotion
Elasticity
Springs
Trajectory
Three-dimensional displays
Control
optimization
parallel elasticity
quadrupedal robot

Journal

IEEE Transactions on Robotics cover
IEEE Transactions on Robotics
IF:
10.5
Papers:
3.3K
Citations:
2.8W

Organization

D
Delft University of Technology
Scholars:
2.6W
Papers: 2.5W
Citations: 3.8W
U
university of oxford
Scholars:
9.7W
Papers: 8.6W
Citations: 137