RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks-Reference-Cited by-同舟云学术

RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wang Yeping¹,Praveena Pragathi¹,Rakita Daniel²,Gleicher Michael¹

Affiliation:

1. University of Wisconsin-Madison,Department of Computer Sciences,Madison,WI,USA,53706

2. Yale University,Department of Computer Science,New Haven,CT,USA,06520

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161311.pdf?arnumber=10161311

Reference32 articles.

1. Closed-Loop Inverse Kinematics Schemes for Constrained Redundant Manipulators with Task Space Augmentation and Task Priority Strategy

2. Grasp planning with incomplete knowledge about the object to be grasped;gonçalves;2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC),2019

3. a versatile generalized inverted kinematics implementation for collaborative working humanoid robots: the stack of tasks;mansard;2009 International Conference on Advanced Robotics ICAR,2009

4. Singularity-robust task-priority redundancy resolution for real-time kinematic control of robot manipulators

5. Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments

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