9 citations · 10 across the 5 of their papers we have counts for
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cs.RO2026
Continuous-Time Motion Planning and Steering with Global Convergence
Mohsen Amiri, Sima Didari, Davoud Ataee Tarzanagh +2
Motion planning is central to robotics, and it is increasingly used to correct the motions proposed by learned planners and policies. In both uses, constraints must hold at every i…
cs.LG2026
PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
Mohsen Amiri, Ali Beikmohammadi, Sindri Magnuśson +1
This paper addresses the problem of training a reinforcement learning (RL) policy under partial observability by exploiting a privileged, anytime-feasible planner agent available e…