6 citations · 7 across the 11 of their papers we have counts for
3 papers · 1 filter
Micro Neural Policies for Safe Real-Time Robotic Control
Hongpeng Cao, Riccardo Curcio, Daniele Ottaviano +1
In this paper, we investigate the synthesis of Micro Neural Policies (MNP) to enable safe and robust real-time robotic control on computationally constrained embedded devices. We d…
Safe and Robust Neural Policy Learning with Statistical Verification for Sim-to-Real Deployment in Robotics
Riccardo Curcio, Hongpeng Cao, Marco Caccamo
Synthesizing safe and robust neural controllers in simulation for reliable sim-to-real deployment remains a critical challenge in robotics. Existing learning-based methods typicall…
Safe Online Learning via Smooth Safety-Structured Policy Composition
Hongpeng Cao, Liqun Zhao, Yuliang Gu +3
Safe online reinforcement learning requires policies to respect safety constraints while maintaining smooth optimization dynamics. Existing approaches typically rely on either stri…