| ∘ |
Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo,
"6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping",
in Frontiers in Robotics and AI,
Vol. 10,
Sep 2023.
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| ∘ |
B. Zhong, A. Lavaei, H. Cao, M. Zamani, and M. Caccamo,
"Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems",
in Nonlinear Analysis: Hybrid Systems,
Vol. 43,
Dec 2021.
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| ∘ |
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L Sangiovanni-Vincentelli,
"Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning",
in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Oct 2024.
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| ∘ |
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo,
"Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings",
in The Thirteenth International Conference on Learning Representations (ICLR),
Vienna, Austria,
Mar 2024 (Spotlight).
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| ∘ |
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo,
"Physics-Model-Regulated Deep Reinforcement Learning: Towards Safety & Stability",
in 2023 IEEE 62nd Conference on Decision and Control (CDC),
Dec 2023.
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| ∘ |
Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo,
"Flexible Gear Assembly With Visual Servoing and Force Feedback",
in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Oct 2023.
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| ∘ |
B. Zhong, H. Cao, M. Zamani, and M. Caccamo,
"Towards safe AI: Sandboxing DNNs-based Controllers in Stochastic Games",
in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Jan 2023.
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| ∘ |
Hongpeng Cao, Mirco Theile, Federico G Wyrwal, Marco Caccamo,
"Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning",
in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Oct 2022.
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