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Gang Chen's Website!

Biography

I am a postdoctoral researcher at the Autonomous Multi-Robots (AMR) Lab, led by Dr. Javier Alonso-Mora, in Delft University of Technology. I received B.S. degree and Ph.D. degree in Mechanical Engineering from Shanghai Jiao Tong University in 2016 and 2022, respectively. During my Ph.D., I worked at the Cooperative Intelligence and Unmanned System (CIUS) Lab, led by Dr. Wei Dong and Prof. Xiangyang Zhu. In 2022, I worked as an intern in a research group led by Dr. Jiangmiao Pang in Shanghai AI Lab. My research interest is on perception and motion planning for obstacle avoidance of robotics in dynamic environments. I used multi-rotor drones in most of my researches. Those drones were designed and built by myself. Click here for the information about my recent works.

Publications

[1] G. Chen, W. Dong, P. Peng, J. Alonso-Mora, X. Zhu. Continuous Occupancy Mapping in Dynamic Environments Using Particles. arXiv preprint arXiv:2202.06273, 2022 (Under review in T-RO).

[2] G. Chen, P. Peng, P. Zhang and W. Dong, Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments, in IEEE Transactions on Industrial Electronics (T-IE), early acess, 2023.

[3] G. Chen, S. Wu, M. Shi, W. Dong, H. Zhu and J. Alonso-Mora, RAST: Risk-Aware Spatio-Temporal Safety Corridors for MAV Navigation in Dynamic Uncertain Environments, in IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 2, pp. 808-815, Feb. 2023

[4] G. Chen, W. Dong, X. Sheng, X. Zhu, H. Ding. An Active Sense and Avoid System for Flying Robots in Dynamic Environments, in IEEE/ASME Transactions on Mechatronics (T-Mech), vol. 26, no. 2, pp. 668-678, April 2021.

[5] G. Chen, D. Sun, W. Dong, X. Sheng, X. Zhu, H. Ding, Computationally Efficient Trajectory Planning for High Speed Obstacle Avoidance of a Quadrotor With Active Sensing, in IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp. 3365-3372, April 2021

[6] G. Chen, H. Yu, W. Dong, X. Sheng, X. Zhu, H. Ding. What should be the input: Investigating the environment representations in sim-to-real transfer for navigation tasks. Robotics and Autonomous Systems (RAS), 2022: 104081.

[7] W. Dong, C. Gong, G. Chen, X. Sheng, X. Zhu, Computationally Efficient Topological Mapping With Layered Spanning Trees, IEEE/ASME Transactions on Mechatronics (T-Mech), 2022.

[8] P. Zhang, G. Chen, W. Dong, Agile Formation Control of Drone Flocking Enhanced with Active Vision-based Relative Localization, in IEEE Robotics and Automation Letters (RA-L), 2022.

[9] Z. Wang, S. Liu, G. Chen and W. Dong, Robust Visual Positioning of the UAV for the Under Bridge Inspection With a Ground Guided Vehicle, in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022.

Conferences

[1] P. Peng, W. Dong, G. Chen and X. Zhu, Obstacle Avoidance of Resilient UAV Swarm Formation with Active Sensing System in the Dense Environment, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 10529-10535.

[2] G. Chen, et al. Generating Spatial Semantic Representations for Indoor Global Mapping. 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2019.

[3] G. Chen, et al. TRP-Controller: An Efficient Anti-Saturation Controller for Quadrotors Performing Yaw-low-priority Motions, 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2021: 310-315.

[4] G. Chen, et al. A trajectory planning and control system for quadrotor unmanned aerial vehicle in field inspection missions. International Conference on Intelligent Robotics and Applications. Springer, Cham, 2017.

Awards

[1] Champion in China Micro Arial Vehicle Competition (2020).

[2] Outstanding Winner in China Ocean Vehicle Design Competition (2020).

[3] Champion in China CHEROC MAV Competition on Intelligent Sensing (2017 & 2019).

[4] Best paper finalist award in IEEE International Conference on Real-time Computing and Robotics (2019)