Zongyuan Shen

Ph.D. Candidate in Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA.

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I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at University of Connecticut, advised by Professor Shalabh Gupta and co-advised by Professor Shengli Zhou and Professor Liang Zhang. I did my masters in the same lab on the area of 3D Coverage Path Planning. Prior to University of Connecticut, I received my bachelor’s degree in Electronic and Information Engineering from Heilongjiang University of Science and Technology in China in 2014. I am passionate about developing motion and path planning algorithms that allow the robots to perform various tasks safely in complex, dynamic, and unknown environments. In particular, my current research involves two topics:

  • Motion Replanning: plan a new path in response to the changes in the environment (e.g., obstacles appear, disappear, or move) using current information (reactive strategy) or predicted information of dynamic obstacles (proactive strategy) for uninterrupted safe navigation in dynamic environments.
  • Coverage Path Planning: plan a path to anable a robot to cover all points in the area to provide complete coverage and minimize the coverage time.

News

Aug 24, 2023 Our paper “SMART: Self-Morphing Adaptive Replanning Tree” was accepted to IEEE Robotics and Automation Letters.
Jun 17, 2022 Our paper “Multi-objective Optimization for Cost-efficient and Resilient Machining under Tool Wear” was accepted to Journal of Advanced Manufacturing and Processing.
May 16, 2022 I am honored to be awarded the ECE Summer 2022 Predoctoral Fellowship.
Feb 10, 2022 I am honored to be awarded the ECE Fall 2021 Teaching Assistant Award.
Sep 21, 2021 Our paper “CT-CPP: Coverage Path Planning for 3D Terrain Reconstruction Using Dynamic Coverage Trees” was accepted to IEEE Robotics and Automation Letters.