Hongpeng Cao
Scholar

Hongpeng Cao

Google Scholar ID: 47WX07UAAAAJ
Ph.D. Student, Technical University of Munich
roboticsdeep reinforcement learningcontrolcomputer vision
Citations & Impact
All-time
Citations
96
 
H-index
7
 
i10-index
5
 
Publications
14
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • - Featured Publications:
  • - Simplex-enabled Safe Continual Learning Machine (2024)
  • - Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings (2024)
  • - 6IMPOSE: Bridging the reality gap in 6D pose estimation for robotic grasping (2023)
  • - Flexible Gear Assembly with Visual Servoing and Force Feedback (2023)
  • - Towards safe ai: Sandboxing dnns-based controllers in stochastic games (2023)
  • - Cloud-edge training architecture for sim-to-real deep reinforcement learning (2022)
Research Experience
  • - Present: Ph.D. Student / Research Associate, Chair of Cyber-Physical Systems in Production Engineering, School of Engineering and Design, Technical University of Munich
Education
  • - PhD: Computer Science, Technical University of Munich, Germany
  • - MEng: Mechanical Engineering, Zhejiang University, China
  • - BSc: Mechanical Design and Automation, Shandong University, China
Background
  • - Research Interests: Robot Learning, Deep Reinforcement Learning, Control Theory
  • - Professional Field: Intersection of machine learning and control theory, addressing intelligent decision-making problems for autonomous systems
  • - About Me: Currently a fifth-year Ph.D. student in the Chair of Cyber-Physical Systems in Production Engineering at the Technical University of Munich (TUM), supervised by Prof. Dr. Marco Caccamo.