most citedBridging the Gap: Regularized Reinforcement Learning for Improved Classical Motion Planning with Safety Modules

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.RO2026

MR-STORM: Scalable Multi-Arm Control By Distributed MPC

Dan Evron, Elias Goldsztejn, Dan R. Suissa +1

Centralized motion planning algorithms struggle to scale in multi-arm manipulation, where inter-arm coupling and tight workspaces amplify complexity. We introduce MR-STORM, a distr…

cs.RO2024★ 1 cited

Bridging the Gap: Regularized Reinforcement Learning for Improved Classical Motion Planning with Safety Modules

Elias Goldsztejn, Ronen I. Brafman

Classical navigation planners can provide safe navigation, albeit often suboptimally and with hindered human norm compliance. ML-based, contemporary autonomous navigation algorithm…