Yingbai Hu


Picture of Yingbai Hu

Yingbai Hu

Technical University of Munich

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)

Place of employment

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)

Work:
Boltzmannstr. 3(5607)/III
85748 Garching b. München

Curriculum Vitae

Yingbai Hu is now a Ph.D. candidate in the Chair of Robotics, AI and Real-time Systems.  His research advisor is Prof. Alois Knoll. He graduated from the South China University of Technology, China.  Prior to TUM, he worked at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT).  Yingbai Hu's research interests focus on robot learning (imitation learning, reinforcement learning), robot control, motion planning, convex optimization, and application on medical robot.

Online profile

GoogleScholar

Research Interests

  • Imitation learning from expert demonstrations: explore the machine leanring method to encode the expert datasets, and develop the robot learning algorithm with adaptability and robustness.
  • Reinforcement learning  and Learning control: develop RL algorighm to learn the robot motor skills, such as improve the ability of imitation learning, motion planning, learning control that bridges the gap between controller and learning strategies.

  • Robot control and planning: develop the control/optimization methods to control the manipulator, develop the planning methods for navigation in complex environment, such as convex optimization for mobile robot planning regarding obstacle avoidance scenarios.

Thesis topics

  • Topic 1: Reinforcement learning  for model predictive control/variable impedance control

  • Topic 2: Imitation learning from few demonstrations  

  • Topic 3: Convex optimization for motion planning and control.

If you are interested in these thesis topics, please send me an email with your background and skills.

Publications

2022

  • Cao, Hu; Chen, Guang; Li, Zhijun; Hu, Yingbai; Knoll, Alois: NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation. IEEE Transactions on Instrumentation and Measurement 71, 2022, 1-11 more…
  • Hu, Yingbai; Chen, Guang; Li, Zhijun; Knoll, Alois: Robot Policy Improvement With Natural Evolution Strategies for Stable Nonlinear Dynamical System. IEEE Transactions on Cybernetics, 2022, 1-13 more…
  • Shangding Gu, Guang Chen, Lijun Zhang, Jing Hou, Yingbai Hu, Alois Knoll: Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis. Intelligent Robots and Mechatronics, 2022 more…

2021

  • Hu, Yingbai; Li, Jian; Chen, Yongquan; Wang, Qiwen; Chi, Chuliang; Zhang, Heng; Gao, Qing; Lan, Yuanmin; Li, Zheng; Mu, Zonggao; Sun, Zhenglong; Knoll, Alois: Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling. IEEE Robotics and Automation Letters, 2021 more…
  • Hu, Yingbai; Su, Hang; Fu, Junling; Karimi, Hamid Reza; Ferrigno, Giancarlo; De Momi, Elena; Knoll, Alois: Nonlinear model predictive control for mobile medical robot using neural optimization. IEEE Transactions on Industrial Electronics 68 (12), 2021, 12636--12645 more…

2020

  • Hu, Yingbai; Chen, Guang; Zhang, Longbin; Su, Hang; Li, Mengyao; Schmirander, Yunus; Cao, Hu; Knoll, Alois: Fuzzy Adaptive Control-based Real-time Obstacle Avoidance under Uncertain Perturbations. 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), 2020 more…
  • Hu, Yingbai; Su, Hang; Chen, Guang; Ferrigno, Giancarlo; De Momi, Elena; Knoll, Alois: Hierarchical Optimization Control of Redundant Manipulator for Robot-Assisted Minimally Invasive Surgery. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 more…
  • Su, Hang; Hu, Yingbai; Karimi, Hamid Reza; Knoll, Alois; Ferrigno, Giancarlo; De Momi, Elena: Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results. Neural Networks 131, 2020, 291--299 more…
  • Su, Hang; Hu, Yingbai; Li, Jiehao; GUO, Jing; Liu, Yuan; Li, Mengyao; Knoll, Alois; Ferrigno, Giancarlo; De Momi, Elena: Improving Motion Planning for Surgical Robot with Active Constraints. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 more…
  • Su, Hang; Hu, Yingbai; Li, Zhijun; Knoll, Alois; Ferrigno, Giancarlo; De Momi, Elena: Reinforcement Learning Based Manipulation Skill Transferring for Robot-assisted Minimally Invasive Surgery. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 more…
  • Su, Hang; Ovur, Salih Ertug; Li, Zhijun; Hu, Yingbai; Li, Jiehao; Knoll, Alois; Ferrigno, Giancarlo; De Momi, Elena: Internet of things (IoT)-based collaborative control of a redundant manipulator for teleoperated minimally invasive surgeries. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 more…

2019

  • Hang Su, Wen Qi, Yingbai Hu, Juan Sandoval, Longbin Zhang, Yunus Schmirander, Guang Chen, Andrea Aliverti, Alois Knoll, Giancarlo Ferrigno, and Elena De Momi: Towards Model-Free Tool Dynamic Identification and Calibration Using Multi-Layer Neural Network. Sensors - MDPI, MDPI, 2019, more…
  • Hu, Yingbai; Chen, Guang; Ning, Xiangyu; Dong, Jinhu; Liu, Shu; Knoll, Alois: Mobile Robot Learning from Human Demonstrations with Nonlinear Model Predictive Control. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 more…
  • Hu, Yingbai; Su, Hang; Zhang, Longbin; Miao, Shu; Chen, Guang; Knoll, Alois: Nonlinear Model Predictive Control for Mobile Robot Using Varying-Parameter Convergent Differential Neural Network. Robotics 8 (3), 2019, 64 more…