Improving Trajectory Optimization Using a Roadmap Framework
© 2018 IEEE. We present an evaluation of several representative sampling-based and optimization-based motion planners, and then introduce an integrated motion planning system which incorporates recent advances in trajectory optimization into a sparse roadmap framework. Through experiments in 4 commo...
Main Authors: | Dai, Siyu, Orton, Matthew Ralph, Schaffert, Shawn, Hofmann, Andreas, Williams, Brian C |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
Online Access: | https://hdl.handle.net/1721.1/137335 |
Similar Items
-
Improving Incremental Planning Performance through Overlapping Replanning and Execution
by: Orton, Matthew Ralph, et al.
Published: (2021) -
Chance Constrained Motion Planning for High-Dimensional Robots
by: Dai, Siyu, et al.
Published: (2021) -
A roadmap-based planner for fast collision-free motion in changing environments
by: Orton, Matthew Ralph
Published: (2018) -
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles
by: Dawson, Charles, et al.
Published: (2022) -
Fast-Reactive Probabilistic Motion Planning for High-Dimensional Robots
by: Dai, Siyu, et al.
Published: (2021)