24 citations · 58 across the 15 of their papers we have counts for
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cs.RO2026
Safe Execution of RL Policies Via Acceleration-Based CBF-QP Constraint Enforcement for Real-World Robotic Deployments
Bastien Muraccioli, Alice Cariou, Pierre-Alexandre Leziart +4
Reinforcement Learning (RL) has demonstrated remarkable capabilities for solving complex robotic control problems, but its lack of safety guarantees severely limits deployment on h…
cs.RO2026
QP-Based Control of an Underactuated Aerial Manipulator under Constraints
Nesserine Laribi, Mohammed Rida Mokhtari, Abdelaziz Benallegue +2
This paper presents a constraint-aware control framework for underactuated aerial manipulators, enabling accurate end-effector trajectory tracking while explicitly accounting for s…