A Global Obstacle-Avoidance Map for Anthropomorphic Arms

More and more humanoid robots are used in human society, and they face a wide variety of complicated manipulation tasks, which are mainly to be achieved by their anthropomorphic arms. Obstacle avoidance for the anthropomorphic arm must be a fundamental consideration to guarantee the successful imple...

Full description

Bibliographic Details
Main Authors: Cheng Fang, Xilun Ding
Format: Article
Language:English
Published: SAGE Publishing 2014-07-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/58724
_version_ 1818872765510320128
author Cheng Fang
Xilun Ding
author_facet Cheng Fang
Xilun Ding
author_sort Cheng Fang
collection DOAJ
description More and more humanoid robots are used in human society, and they face a wide variety of complicated manipulation tasks, which are mainly to be achieved by their anthropomorphic arms. Obstacle avoidance for the anthropomorphic arm must be a fundamental consideration to guarantee the successful implementation of these tasks. Different from traditional methods searching for feasible or optimal collision-free solutions for the anthropomorphic arm, a global obstacle-avoidance map for the whole arm is proposed to indicate the complete set of feasible solutions. In this map, the motion of the arm can be appropriately planned to intuitively control the configuration of the arm in motion. First, the cubic spline function is adopted to interpolate some well-chosen path points to generate a smooth collision-free path for the wrist of the anthropomorphic arm. Second, based on the path function of the wrist, the time and the self-rotation angle of the arm about the “shoulder-wrist” axis are used to parameterize all possible configurations of the arm so that a global two-dimensional map considering the obstacle avoidance can be established. Subsequently, a collision-free self-rotation angle profile of the arm can be well planned. Finally, the joint trajectories of a specific anthropomorphic arm, which correspond to the planned path of the wrist and self-rotation angle profile of the arm, can be solved on the basis of the general kinematic analysis of the anthropomorphic arm, and the specific structure. Several simulations are conducted to verify that the proposed collision-free motion planning method for anthropomorphic arms has some advantages and can be regarded as a convenient and intuitive tool to control the configuration of the anthropomorphic arm in motion, without collision with obstacles in its surroundings.
first_indexed 2024-12-19T12:44:01Z
format Article
id doaj.art-d8f3b7416d794fc289853ab36f8d80a5
institution Directory Open Access Journal
issn 1729-8814
language English
last_indexed 2024-12-19T12:44:01Z
publishDate 2014-07-01
publisher SAGE Publishing
record_format Article
series International Journal of Advanced Robotic Systems
spelling doaj.art-d8f3b7416d794fc289853ab36f8d80a52022-12-21T20:20:50ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-07-011110.5772/5872410.5772_58724A Global Obstacle-Avoidance Map for Anthropomorphic ArmsCheng Fang0Xilun Ding1 Robotics Institute, Department of Mechanical Engineering and Automation, Beihang University, Beijing, China Robotics Institute, Department of Mechanical Engineering and Automation, Beihang University, Beijing, ChinaMore and more humanoid robots are used in human society, and they face a wide variety of complicated manipulation tasks, which are mainly to be achieved by their anthropomorphic arms. Obstacle avoidance for the anthropomorphic arm must be a fundamental consideration to guarantee the successful implementation of these tasks. Different from traditional methods searching for feasible or optimal collision-free solutions for the anthropomorphic arm, a global obstacle-avoidance map for the whole arm is proposed to indicate the complete set of feasible solutions. In this map, the motion of the arm can be appropriately planned to intuitively control the configuration of the arm in motion. First, the cubic spline function is adopted to interpolate some well-chosen path points to generate a smooth collision-free path for the wrist of the anthropomorphic arm. Second, based on the path function of the wrist, the time and the self-rotation angle of the arm about the “shoulder-wrist” axis are used to parameterize all possible configurations of the arm so that a global two-dimensional map considering the obstacle avoidance can be established. Subsequently, a collision-free self-rotation angle profile of the arm can be well planned. Finally, the joint trajectories of a specific anthropomorphic arm, which correspond to the planned path of the wrist and self-rotation angle profile of the arm, can be solved on the basis of the general kinematic analysis of the anthropomorphic arm, and the specific structure. Several simulations are conducted to verify that the proposed collision-free motion planning method for anthropomorphic arms has some advantages and can be regarded as a convenient and intuitive tool to control the configuration of the anthropomorphic arm in motion, without collision with obstacles in its surroundings.https://doi.org/10.5772/58724
spellingShingle Cheng Fang
Xilun Ding
A Global Obstacle-Avoidance Map for Anthropomorphic Arms
International Journal of Advanced Robotic Systems
title A Global Obstacle-Avoidance Map for Anthropomorphic Arms
title_full A Global Obstacle-Avoidance Map for Anthropomorphic Arms
title_fullStr A Global Obstacle-Avoidance Map for Anthropomorphic Arms
title_full_unstemmed A Global Obstacle-Avoidance Map for Anthropomorphic Arms
title_short A Global Obstacle-Avoidance Map for Anthropomorphic Arms
title_sort global obstacle avoidance map for anthropomorphic arms
url https://doi.org/10.5772/58724
work_keys_str_mv AT chengfang aglobalobstacleavoidancemapforanthropomorphicarms
AT xilunding aglobalobstacleavoidancemapforanthropomorphicarms
AT chengfang globalobstacleavoidancemapforanthropomorphicarms
AT xilunding globalobstacleavoidancemapforanthropomorphicarms