Picture of Yingbai Hu

Yingbai Hu

Technical University of Munich

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

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

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 a PhD candidate in the Chair of Robotics, Artificial Intelligence and Real-time Systems under the supervision of Professor Knoll since 2018. He graduated with the Master of Engineering degree in Control Engineering from the South China University of Technology, China, in 2017. 

He research focuses on surgical robot and mobile robot including robot learning , motion planning and optimization control with RCM constraint. If you are interested in these thesis topics, please write me an email indicating your background and skills.

Research Interests

  • Robot learning: reinforcement learning,  imitation learning with GMM, GPR or other machine learning algorithm for robot motor skills leanring.
  • Robot control: hierarchical optimization control with neural networks, impedance control, sliding mode control, model predictive control, adaptive control.
  • Signal processing:  biological signal, image signal processing for robot operation.

     

     

Bachelor, Master Thesis

  • Topic 1: Imitation learning and  reinforcement learning for robot skills learning.

  • Topic 2: Model predictive control for redundant manipulator.

  • Topic 3: Machine learning driven biosignal and image signal recognition for robot operation

 

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Demo

Publications

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 mehr… BibTeX Volltext ( DOI )
  • 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 mehr… BibTeX
  • 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 mehr… BibTeX Volltext ( DOI )
  • 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 mehr… BibTeX
  • 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 mehr… BibTeX

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, mehr… BibTeX Volltext (mediaTUM)
  • 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 mehr… BibTeX Volltext ( DOI )
  • 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 mehr… BibTeX Volltext (mediaTUM)