Dynamic and Control of Legged Robots

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuators for Robotics".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 4919

Special Issue Editors


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Guest Editor
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
Interests: legged robotics; dynamics and model-based control; optimal control; trajectory optimization; interaction robotics; motor control

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Guest Editor
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: robotics; space robotics; contact mechanics; artificial intelligence; control

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Guest Editor
School of Control Science and Engineering, Shandong University, Jinan 250100, China
Interests: robotics; robot design and optimization; robot control; wearable exoskeleton; legged robots

Special Issue Information

Dear Colleagues,

Legged robotics have undergone significant development in the last decade. The application domains of legged robots include nuclear decommissioning and mining, search and rescue, inspection, surveillance, and space exploration, etc. In addition to industrial applications, they also show the potential for elderly and patient care. Researchers have explored various motion and planning and control approaches for dynamic locomotion, leveraging different dynamic models. Reinforcement learning provides the legged robots with tremendous robustness against uncertainties and disturbances. However, model-based approaches are faced with nonlinearity problems whilst learning-based approaches have the sim-to-real gap. This Special Issue welcomes papers on, but not limited to, the following topics:

  • Trajectory optimization;
  • Whole-body control;
  • Learning-based control strategies;
  • Dynamic modeling of the robots and the environments;
  • Navigation and obstacle avoidance;
  • Loco-manipulation planning and control;
  • State estimation and online data fusion;
  • Robot and human interaction;
  • The advanced design of legged robots;
  • Bionics in legged robots.

Dr. Guiyang Xin
Prof. Dr. Liang Ding
Prof. Dr. Lelai Zhou
Guest Editors

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Keywords

  • legged robotics
  • optimal control
  • whole-body control
  • model predictive control
  • dynamic modeling
  • machine learning
  • actuator dynamics and control
  • robust control
  • state estimation
  • SLAM
  • locomotion and manipulation
  • bionics

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Published Papers (1 paper)

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Research

17 pages, 2019 KiB  
Article
Whole-Body Control for a Torque-Controlled Legged Mobile Manipulator
by Jun Li, Haibo Gao, Yuhui Wan, Joseph Humphreys, Christopher Peers, Haitao Yu and Chengxu Zhou
Actuators 2022, 11(11), 304; https://doi.org/10.3390/act11110304 - 22 Oct 2022
Cited by 11 | Viewed by 4405
Abstract
The task of performing locomotion and manipulation simultaneously poses several scientific challenges, such as how to deal with the coupling effects between them and how to cope with unknown disturbances introduced by manipulation. This paper presents an inverse dynamics-based whole-body controller for a [...] Read more.
The task of performing locomotion and manipulation simultaneously poses several scientific challenges, such as how to deal with the coupling effects between them and how to cope with unknown disturbances introduced by manipulation. This paper presents an inverse dynamics-based whole-body controller for a torque-controlled quadrupedal manipulator capable of performing locomotion while executing manipulation tasks. Unlike existing methods that deal with locomotion and manipulation separately, the proposed controller can handle them uniformly, which can take into account the coupling effects between the base, limbs and manipulated object. The controller tracks the desired task–space motion references based on a hierarchical optimization algorithm, given a set of hierarchies that define strict priorities and the importance of weighting each task within a hierarchy. The simulation results show the robot is able to follow multiple task–space motion reference trajectories with reasonable deviation, which proved the effectiveness of the proposed controller. Full article
(This article belongs to the Special Issue Dynamic and Control of Legged Robots)
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