Yuhong Huang


Picture of Yuhong Huang

M.Eng. Yuhong Huang

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

Room: Roboterhalle

Office Hour: By appointment only

Curriculum Vitae

Yuhong Huang is currently a doctoral student at the Chair of Robotics, Artificial Intelligence and Real-time Systems, Department of Informatics, Technical University of Munich. He received his M.Eng degree in Integrated Circuit Engineering at the National University of Defense Technology, China, in 2020, and his B.Eng degree in Software Engineering at Sun Yat-sen University, China, in 2017.

His research interests include autonomous control of mobile robots, and machine learning (especially learning in small simple).

Thesis Topic

Topic 1: Spine-based Adaptive Locomotion of the Rat Robot

The rat robot is a bionic quadruped robot with soft actuated spine.  The soft spine is able to enhance the quadrupedal locomotion of the rat robot, including balance, velocity, and direction.
In our following research, we will focus on generating spine-based pathological gait for the rat robot with CPG-rewiring.

Topic 2: Reinforcement learning for the small-size quadruped robot

Reinforcement learning approaches, which learn from the interaction between robots and their environments, can autonomously generate adaptable quadrupedal locomotion based on real-time feedback. However, these approaches often rely on the variability of data obtained from the sensors of full-size quadruped robots and the execution of suitable behaviors through powerful actuators. In contrast, small-sized quadruped robots face volumetric constraints that limit the configuration of sensors and actuators, making it challenging for them to understand and adapt to environmental changes.

  • Topic 2.1: Extract effective environmental differences based on little perception information
  • Topic 2.2: Robot gait generation via Reinforcement Learning
  • Topic 2.3: Adaptive control of robots in different environments through hierarchical reinforcement learning

Topic 3: Swarm Intelligence for Group Navigation

In real life, humans always work in an environment with other people (avoid interference from others or collaborate with others). This is a great challenge to robot decisions. For example, in obstacle avoidance of dense crowd navigation, the robot is required to predict the uncertain movement path of other people and avoid them. At the same, the robot needs to make the optimal decision to arrive at the target quickly.

  • Topic 3.1: Dense-Crowd Navigation via Reinforcement Learning
  • Topic 3.2: Control Method Based on Neighbor Reward for Robot Swarm

If you are interested in one of the topics, please feel free to contact me.

 

Demo

Publications

2024

  • Yuhong Huang, Zhenshan Bing, Zitao Zhang, Genghang Zhuang, Kai Huang, Alois Knoll: Optimizing Dynamic Balance in a Rat Robot Via the Lateral Flexion of a Soft Actuated Spine. IEEE International Conference on Robotics and Automation, 2024 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2023

  • Bing, Zhenshan; Rohregger, Alex; Walter, Florian; Huang, Yuhong; Lucas, Peer; Morin, Fabrice O.; Huang, Kai; Knoll, Alois: Lateral flexion of a compliant spine improves motor performance in a bioinspired mouse robot. Science Robotics 8 (85), 2023, eadg7165 mehr… BibTeX Volltext ( DOI )
  • Huang, Yuhong and Bing, Zhenshan and Zhang, Zitao and Huang, Kai and Morin, Fabrice O and Knoll, Alois: Smooth Stride Length Change of Rat Robot with a Compliant Actuated Spine Based on CPG Controller. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 mehr… BibTeX
  • Zhang, Zitao; Huang, Yuhong; Zhao, Zijian; Bing, Zhenshan; Knoll, Alois; Huang, Kai: A Hierarchical Reinforcement Learning Approach for Adaptive Quadruped Locomotion of a Rat Robot. 2023 IEEE International Conference on Robotics and Biomimetics, 2023 mehr… BibTeX
  • Zhuang, Genghang; Bing, Zhenshan; Yao, Xiangtong; Huang, Yuhong; Huang, Kai; Knoll, Alois: An Energy-Efficient Lane-Keeping System Using 3D LiDAR Based on Spiking Neural Network. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023 mehr… BibTeX Volltext (mediaTUM)
  • Zhuang, Genghang; Bing, Zhenshan; Yao, Xiangtong; Huang, Yuhong; Huang, Kai; Knoll, Alois: Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems 24 (8), 2023, 8386-8392 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2022

  • Huang, Yuhong; Bing, Zhenshan; Walter, Florian; Rohregger, Alex; Zhang, Zitao; Huang, Kai; Morin, Fabrice O.; Knoll, Alois: Enhanced Quadruped Locomotion of a Rat Robot Based on the Lateral Flexion of a Soft Actuated Spine. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022 mehr… BibTeX
  • Zhuang, Genghang; Bing, Zhenshan; Huang, Yuhong; Huang, Kai; Knoll, Alois: A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022 mehr… BibTeX Volltext (mediaTUM)

2021

  • Zhuang, Genghang; Bing, Zhenshan; Zhao, Jiaxi; Li, Ning; Huang, Yuhong; Huang, Kai; Knoll, Alois: A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. arXiv preprint arXiv:2109.12910, 2021 mehr… BibTeX

2020

  • Cheng, Long; Huang Jianping; Liu, Linlin; Jian, Zhiyong; Huang, Yuhong; Huang, Kai: Offline Practising and Runtime Training Framework for Autonomous Motion Control of Snake Robots. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 mehr… BibTeX
  • Cheng, Long; Huang, Jianping; Liu, Linlin; Jian, Zhiyong; Huang, Yuhong; Huang, Kai: Offline Practising and Runtime Training Framework for Autonomous Motion Control of Snake Robots. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 mehr… BibTeX
  • He, Yiyi; Li, Tiejun; Huang, Yuhong; Li, Shijie; others: Term Weight Algorithm Oriented Terms: Low Frequency Rather Than Little Occurrences. Procedia Computer Science 176, 2020, 838--847 mehr… BibTeX
  • He, Yiyi; Li, Tiejun; Huang, Yuhong; Li, Shijie; others: Term Weight Algorithm Oriented Terms: Low Frequency Rather Than Little Occurrences. Procedia Computer Science 176, 2020, 838--847 mehr… BibTeX
  • He, Yiyi; Li, Tiejun; Huang, Yuhong; Li, Shijie; others: Term Weight Algorithm Oriented Terms: Low Frequency Rather Than Little Occurrences. Procedia Computer Science 176, 2020, 838--847 mehr… BibTeX

2019

  • Du, Linlin; Huang, Yuhong; Tang, Yuhua; Huang, Da: A Distributed Control Method Based on Neighbor Reward for Robot Swarm. Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering, 2019 mehr… BibTeX
  • Du, Linlin; Huang, Yuhong; Tang, Yuhua; Huang, Da: A Distributed Control Method Based on Neighbor Reward for Robot Swarm. Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering, 2019 mehr… BibTeX
  • Du, Linlin; Huang, Yuhong; Tang, Yuhua; Huang, Da: A Distributed Control Method Based on Neighbor Reward for Robot Swarm. Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering, 2019 mehr… BibTeX
  • Huang, Yuhong; Mao, Xinjun; Liu, Wanwei; Yang, Shuo; Wang, Shuo: Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model. IEEE Access 7, 2019, 127987--127998 mehr… BibTeX
  • Huang, Yuhong; Mao, Xinjun; Liu, Wanwei; Yang, Shuo; Wang, Shuo: Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model. IEEE Access 7, 2019, 127987--127998 mehr… BibTeX
  • Huang, Yuhong; Mao, Xinjun; Liu, Wanwei; Yang, Shuo; Wang, Shuo: Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model. IEEE Access 7, 2019, 127987--127998 mehr… BibTeX

2017

  • Xiao, Shanshan; Bing, Zhenshan; Huang, Kai; Huang, Yuhong: Snake-like Robot Climbs Inside Different Pipes. 2017 IEEE International Conference on Robotics and Biomimetics, 2017 mehr… BibTeX
  • Xiao, Shanshan; Bing, Zhenshan; Huang, Kai; Huang, Yuhong: Snake-like robot climbs inside different pipes. 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017 mehr… BibTeX
  • Xiao, Shanshan; Bing, Zhenshan; Huang, Kai; Huang, Yuhong: Snake-like robot climbs inside different pipes. 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017 mehr… BibTeX
  • Xiao, Shanshan; Bing, Zhenshan; Huang, Kai; Huang, Yuhong: Snake-like robot climbs inside different pipes. 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017 mehr… BibTeX