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cs.RO2026
POrTAL: Plan-Orchestrated Tree Assembly for Lookahead
Evan Conway, David Porfirio, David Chan +2
When tasking robots in partially observable environments, these robots must efficiently and robustly plan to achieve task goals under uncertainty. Although many probabilistic plann…
cs.RO2024
Towards Online Safety Corrections for Robotic Manipulation Policies
Ariana Spalter, Mark Roberts, Laura M. Hiatt
Recent successes in applying reinforcement learning (RL) for robotics has shown it is a viable approach for constructing robotic controllers. However, RL controllers can produce ma…
cs.RO2024
Composing Option Sequences by Adaptation: Initial Results
Charles A. Meehan, Paul Rademacher, Mark Roberts +1
Robot manipulation in real-world settings often requires adapting the robot's behavior to the current situation, such as by changing the sequences in which policies execute to achi…