Maneuvering and stabilization control of a bipedal robot with a universal-spatial robotic tail.

Bioinspir Biomim

Robotics and Mechatronics Laboratory, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, United States of America.

Published: December 2018

AI Article Synopsis

  • The paper explores how a bioinspired robotic tail can improve the maneuvering and stabilization of a bipedal robot, taking inspiration from how animals use tails.
  • It reviews existing research that typically focuses on simple tail designs and attempts to integrate a more complex tail system with low-complexity legs to enhance robot performance.
  • The study presents detailed models for the tail and leg systems, discusses real-time sensing, and introduces various control strategies for achieving efficient maneuvers and stability during movement, validated through simulations and experiments.

Article Abstract

This paper analyzes control methodologies to implement maneuvering and stabilization behaviors in a bipedal robot using a bioinspired robotic tail. Looking to nature, numerous animals augment their legs' functionality using a tail nature, numerous animals augment their legs' functionality using a tail to assist with both maneuvering and stabilization; looking to the robotics literature, previous research primarily focuses on single-mass, pendulum-like tails designed to perform a specific task. The overarching goal of this research is to study how bioinspired tail designs may be used in conjunction with low-complexity leg designs to achieve high-performance behaviors. In pursuit of this goal, this paper connects the serpentine universal-spatial robotic tail (USRT) with a biped consisting of a pair of Robotic Modular Legs to study the outer- and inner-loop control considerations necessary to achieve yaw-angle turning and stable leg lifting. The design and modeling of the tail and leg subsystems are presented, along with considerations for sensing the USRT's configuration in real-time. In addition, two inner-loop controllers that map desired tail trajectories into actuation commands are presented: a prescribed velocity approach that only utilizes motor feedback, and a prescribed torque approach that incorporates both feedforward consideration of the tail dynamics and feedback consideration from the tail sensing. Two outer-loop controllers-one for yaw-angle steering (maneuvering), and one for roll-angle disturbance rejection when lifting a foot (stabilization)-are also defined. Case studies including simulation and experimental results are used to validate the outer-loop control approaches.

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Source
http://dx.doi.org/10.1088/1748-3190/aaf188DOI Listing

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