Robowflex: Robot Motion Planning with MoveIt Made Easy
Author:
Affiliation:
1. Rice University,Department of Computer Science,Houston,TX,USA,77005
Funder
NSF
Rice University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981698.pdf?arnumber=9981698
Reference35 articles.
1. Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
2. Sampling-based algorithms for optimal motion planning
3. Using Local Experiences for Global Motion Planning
4. Robotics library: An object-oriented approach to robot applications
5. Exploring implicit spaces for constrained sampling-based planning
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1. Motion Comparator: Visual Comparison of Robot Motions;IEEE Robotics and Automation Letters;2024-09
2. Motions in Microseconds via Vectorized Sampling-Based Planning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Task and Motion Planning for Execution in the Real;IEEE Transactions on Robotics;2024
5. Extending the motion planning framework—MoveIt with advanced manipulation functions for industrial applications;Robotics and Computer-Integrated Manufacturing;2023-10
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