Smart Sensing and Robotics Group @ Tsinghua


PI: Wenbo Ding Ph.D.
Chinese Character “丁文伯”
Associate Professor, Ph. D. Supervisor
Smart Sensing and Robotics (SSR) Group
Internet of Things and Societal Cyber Physical Systems Lab (Lab-2c)
Tsinghua-Berkeley Shenzhen Institute
Shenzhen, Guangdong 518055


Google Scholar



Research Interests

We conduct the interdisciplinary research in the emerging field of robotics, machine learning and human-machine interfaces. My goal is to touch and break the boundary between materials, devices, circuits, systems and algorithms.

  • Robotic Sensing and Swarm Robots

  • Wearable systems and Human-Computer Interfaces

  • Smart sensing algorithms

  • Federated learning / Reinforcement learning


I am always looking for the self-motivated students with the background of electrical engineering, electronic engineering, computer science, mechanical engineering and materials science, and especially the ones who enjoy the experience to build up a working system. If you are interested in working with us as a PostDoc or PhD / Master / Visiting student, please contact me. For those applying for the TBSI graduate programs (master and PhD), please remeber to choose the Big data and artificial intelligence direction.

Email: ding.wenbo at;   vincentdwb at
Web: TBSI Official Website

Room 1105, Information Technology Building
Tsinghua Shenzhen International Graduate School
Shenzhen, Guangdong 518055


  • [2023/01] Our proposal for IEEE JSTSP special issue on robotics has been approved. Your support and attention are warmly welcomed.

  • [2023/01] Our work on soft robot self sensing has been accepted by IEEE ICRA. Congrats to Zihan and Eric!

  • [2022/12] I am promoted to Assosciate Professor. Thank you for all your support!

  • [2022/11] Invited to join the IEEE SPS Applied Signal Processing Systems Technical Committee.

  • [2022/10] Zihan, Ziwu, Hongfa, Xiaosa, Shoujie, Hengxi, Zihao (Zhao), Meilin, Zihao (Ai), Yuzhu, Zenan, Huaze, Jihong, Eric, Zhentan have received the University-level scholarship and SIGS school-level scholarship. Congrats!

  • [2022/10] Our work on mean-field enabled multi-agent reinforcement learning for V2X has been accepted by IEEE IoTJ (IF: 9.471). Congrats to Hengxi!

  • [2022/08] Hongfa, Mingrui and Zihao's paper has been selected as the Front Cover of the upcoming Advanced Energy Materials volumne. Congrats!

  • [2022/08] Henggxi received the best oral award in WOLT’2022. Congrats!

  • [2022/07] Our work on high-performance triboelectric vibration sensor has been accepted by Advanced Energy Materials (IF: 29.4). Congrats to Hongfa, Zihao and Jiyu!

  • [2022/06] Our work on scalable magnetic robot control has been accepted by IEEE RAL and IROS. Congrats to Xiaosa!

  • [2022/06] Our work on mechanical modualation for infrared communications has been accepted by Energy & Environmental Science (IF: 39.7). Congrats to Zihan, Yuchao, Chengyue and Jiyu!

  • [2022/05] Our work on underwater communications has been accepted by Nature Communications. Congrats to Hongfa!

  • [2022/03] My course “Nanogenerators and Self-powered Systems” has ranked top 5% in the student evaluation. Thank you for your support.

  • [2022/01] Jiyu is awarded the Young Elite Scientists Sponsorship Program. Congrats to Jiyu.

  • [2022/01] Our work on communication-efficient FL has been accepted by ACM TIST. Congrats to Yuzhu.

  • [2021/12] Our work on simultaneous material and texture sensing (MTSensing) has been accepted by Nano Energy (IF: 17.881). Congrats to Ziwu, Jihong and Zihan.

  • [2021/10] Zihan, Jiarong, Xu, Jihong, Hengxi and Yuzhu have received the National Graduate Scholarship, University-level scholarship and SIGS school-level scholarship. Congrats!

  • [2021/10] Yang and Zihan's paper has been selected as the Front Cover from around 200 papers of the upcoming Nano Energy volumne. Congrats!

  • [2021/07] Yuzhu received the best poster award in WOLT’2021. Congrats!

  • [2021/07] Invited to serve on the Editorial Board for Digital Signal Processing.

  • [2021/06] Our work on bending sensor for human-machine interface has been accepted by Nano Energy (IF: 19.06). Congrats to Yang and Zihan, it is a project originated from my self-powered system course.

  • [2021/06] The US patent on “Self-powered wireless optical communication systems and methods” has been granted. Thanks to all the inventors.

  • [2021/04] Invited to join the best poster committee for NEMS 2021. See you in Xiamen!

  • [2021/04] Invited to serve as the session chair for MRS Spring 2021. See you online.

  • [2021/03] Invited to join the ACM SIGBED China Youth Committee.

  • [2021/03] Honnored to receive the National Early-Career Award.

  • [2020/10] Our proposal for DSP special issue has been approved. Your support and attention are warmly welcomed. Link for more details.

  • [2019/11] My Smart Sensing and Robotics (SSR) Group was established.

About Me

Dr. Wenbo Ding is now an associate professor and leading the smart sensing and robotics (SSR) group in Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University. He received the B.E and Ph.D. degrees (both with the highest honors) from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2011 and 2016, respectively, and then worked as a postdoctoral research fellow in Materials Science and Engineering at Georgia Tech, Atlanta, GA, under the supervision of Professor Z. L. Wang from 2016 to 2019. He has published over 70 journal and conference papers and received many prestigious awards, including the National Early-Career Award, the IEEE Scott Helt Memorial Award for the best paper published in IEEE Transactions on Broadcasting, the 2019 Natural Science Award (Second Prize) from Institute of Electronics, the Gold Medal and Special Prize at the 47th International Exhibition of Inventions of Geneva, the Tsinghua Top Grade Scholarship (highest student honor in Tsinghua), the Tsinghua Lin Feng Counsellor Prize (highest student mentor honor in Tsinghua). His research interests are diverse and interdisciplinary, which include self-powered sensors, energy harvesting, wearable devices for health and soft robotics with the help of signal processing, machine learning and mobile computing.

His detailed CV can be found here.

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