Author:
Porges Oliver,Leidner Daniel,Roa Máximo A.
Abstract
A frequent concern for robot manipulators deployed in dangerous and hazardous environments for humans is the reliability of task executions in the event of a joint failure. A redundant robotic manipulator can be used to mitigate the risk and guarantee a post-failure task completion, which is critical for instance for space applications. This paper describes methods to analyze potential risks due to a joint failure, and introduces tools for fault-tolerant task design and path planning for robotic manipulators. The presented methods are based on off-line precomputed workspace models. The methods are general enough to cope with robots with any type of joint (revolute or prismatic) and any number of degrees of freedom, and might include arbitrarily shaped obstacles in the process, without resorting to simplified models. Application examples illustrate the potential of the approach.
Subject
Artificial Intelligence,Computer Science Applications
Reference24 articles.
1. Maximizing the Size of Self-Motion Manifolds to Improve Robot Fault-Tolerance;Alkmarkhi;IEEE Robotics Automation Lett.,2019
2. On the Inverse Kinematics of Redundant Manipulators: Characterization of the Self-Motion Manifolds;Burdick,1989
3. Automated Construction of Robotic Manipulation Programs
DiankovR.
Pittsburgh, PennsylvaniaCarnegie Mellon University2010
4. The Case for Robotic On-Orbit Servicing of Spacecraft: Spacecraft Reliability Is a Myth;Ellery;Acta Astronautica,2008
5. Robotic Capture and De-orbit of a Heavy, Uncooperative and Tumbling Target in Low Earth Orbit;Jaekel,2015
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Hybrid trajectory planning of two permanent magnets for medical robotic applications;The International Journal of Robotics Research;2024-07-23
2. 3D Data Collection for Individual Plant Farming;2024 Systems and Information Engineering Design Symposium (SIEDS);2024-05-03