Towards Exact Interaction Force Control for Underactuated Quadrupedal Systems with Orthogonal Projection and Quadratic Programming
Shengzhi Wang, Xiangyu Chu, and K. W. Samuel Au (Multiscale Medical, Robotics Center, Hong Kong, China)

TL;DR
This paper introduces a novel control scheme for underactuated quadrupedal robots that achieves precise interaction force control without force sensors, using projection techniques and a hierarchical quadratic programming approach.
Contribution
It presents a new QP-based control algorithm with dual selection matrices for decoupling force and motion control in quadrupedal robots.
Findings
More accurate contact force tracking compared to previous methods.
Minimal base movement during force application.
Validated in high-fidelity simulation.
Abstract
Projected Inverse Dynamics Control (PIDC) is commonly used in robots subject to contact, especially in quadrupedal systems. Many methods based on such dynamics have been developed for quadrupedal locomotion tasks, and only a few works studied simple interactions between the robot and environment, such as pressing an E-stop button. To facilitate the interaction requiring exact force control for safety, we propose a novel interaction force control scheme for underactuated quadrupedal systems relying on projection techniques and Quadratic Programming (QP). This algorithm allows the robot to apply a desired interaction force to the environment without using force sensors while satisfying physical constraints and inducing minimal base motion. Unlike previous projection-based methods, the QP design uses two selection matrices in its hierarchical structure, facilitating the decoupling between…
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Taxonomy
TopicsRobotic Locomotion and Control · Robot Manipulation and Learning · Soft Robotics and Applications
