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Matthew Orton

2 accepted papers

2019

Improving Incremental Planning Performance through Overlapping Replanning and Execution

ICRA 2019poster

Deployment of motion planning algorithms in practical applications has lagged due to their slow speed in reacting to disturbances. We believe that the best way to address this is to reuse learned planning and control information across queries. In previous work, we introduced Chekov, a reactive, int…

Cited by 2SourceScholar
2018

Improving Trajectory Optimization Using a Roadmap Framework

IROS 2018poster

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 common application…

Cited by 24SourceScholar