Hongpeng Cao

According to our database¹, Hongpeng Cao authored at least 11 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning.

[BibT_eX]

[DOI]

Mirco Theile

Hongpeng Cao

Marco Caccamo

Alberto L. Sangiovanni-Vincentelli

CoRR, 2024

2023

6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping.

[BibT_eX]

[DOI]

Frontiers Robotics AI, October, 2023

Physical Deep Reinforcement Learning: Safety and Unknown Unknowns.

[BibT_eX]

[DOI]

CoRR, 2023

Physical Deep Reinforcement Learning Towards Safety Guarantee.

[BibT_eX]

[DOI]

CoRR, 2023

Flexible Gear Assembly with Visual Servoing and Force Feedback.

[BibT_eX]

[DOI]

IROS, 2023

Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Sandboxing (AI-based) Unverified Controllers in Stochastic Games: An Abstraction-based Approach with Safe-visor Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Hongpeng Cao

Timeline

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