Chuyuan Tao

陶楚沅

Chuyuan Tao

Chuyuan Tao

Assistant Professor in Artificial Intelligence

chuyuan2@sdu.edu.cn

School of Artificial Intelligence

Shandong University

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陶楚沅

人工智能助理教授

chuyuan2@sdu.edu.cn

人工智能学院

山东大学

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About Me

关于我

I am passionate about advancing robotics and autonomous systems to operate safely and efficiently in dynamic, uncertain environments. My research focuses on ensuring reliable performance by addressing challenges in system robustness, adaptability, and safety. I am particularly interested in integrating control systems with motion planning, enabling autonomous systems to make informed decisions and adapt to changing conditions. My work extends to developing approaches that allow robots and autonomous systems to handle disturbances, unforeseen obstacles, and system faults. Ultimately, I strive to push the boundaries of autonomous systems, enhancing their functionality and performance across diverse real-world applications.

我致力于推动机器人和自主系统在动态、不确定环境中安全高效地运行。我的研究重点是通过解决系统鲁棒性、适应性和安全性方面的挑战来确保可靠的性能。我对将控制系统与运动规划相结合特别感兴趣,使自主系统能够做出明智的决策并适应不断变化的条件。我的工作还包括开发方法,使机器人和自主系统能够处理干扰、意外障碍和系统故障。最终,我努力突破自主系统的边界,增强其在各种实际应用中的功能和性能。

  • Resilient Estimator-based Control Barrier Functions for Dynamical Systems
  • Efficient and Safe Sampling-Based Motion Planning Strategies
  • Optimization-based Planners for Continuous-Time Control in Robotics
  • Embedded Systems and Digital Control for Mechatronics Applications
  • 基于鲁棒估计器的动态系统控制障碍函数
  • 高效安全的基于采样的运动规划策略
  • 机器人连续时间控制的优化规划器
  • 机电一体化应用中的嵌入式系统与数字控制

Education

教育背景

  • PhD in Mechanical Engineering, University of Illinois at Urbana-Champaign, 2025

  • M.E. in Mechanical Engineering, University of Illinois at Urbana-Champaign, 2020

  • B.E. in Mechanical Engineering, Zhejiang University, 2019

  • 机械工程博士,伊利诺伊大学厄巴纳-香槟分校,2025

  • 机械工程硕士,伊利诺伊大学厄巴纳-香槟分校,2020

  • 机械工程学士,浙江大学,2019

Publications论文发表

First Author Publications第一作者论文

  • C Tao, H Kim, HJ Yoon, P Voulgaris, N Hovakimyan. "Guided Sampling-Based Motion Planning Algorithm for Dynamic and Obstacle Cluttered Environments." Journal of Guidance, Control, and Dynamics 49 (1), 22-39 (2026).
  • C Tao, H Kim, N Hovakimyan. "RRT guided model predictive path integral method." 2023 American Control Conference (ACC), 776-781. 6 (2023).
  • C Tao, S Cheng, Y Zhao, F Wang, N Hovakimyan. "An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals." arXiv preprint arXiv:2404.00133 (2024).
  • C Tao, W Wan, J Gao, B Mo, H Kim, N Hovakimyan. "Resilient Estimator-based Control Barrier Functions for Dynamical Systems with Disturbances and Noise." AIAA AVIATION FORUM AND ASCEND 2024, 4498 (2024).
  • C Tao, H Kim, H Yoon, N Hovakimyan, P Voulgaris. "Control barrier function augmentation in sampling-based control algorithm for sample efficiency." 2022 American Control Conference (ACC), 3488-3493. 13 (2022).
  • C Tao, HJ Yoon, H Kim, N Hovakimyan, P Voulgaris. "Path integral methods with stochastic control barrier functions." 2022 IEEE 61st Conference on Decision and Control (CDC), 1654-1659. 9 (2022).

Co-authored Publications

  • P Zhao, Y Mao, C Tao, N Hovakimyan, X Wang. "Adaptive robust quadratic programs using control Lyapunov and barrier functions." 2020 59th IEEE Conference on Decision and Control (CDC), 3353-3358. 46 (2020).
  • L Song, N Wan, A Gahlawat, C Tao, N Hovakimyan, EA Theodorou. "Generalization of safe optimal control actions on networked multiagent systems." IEEE transactions on control of network systems 10 (1), 491-502. 18 (2022).
  • HJ Yoon, C Tao, H Kim, N Hovakimyan, P Voulgaris. "Sampling complexity of path integral methods for trajectory optimization." 2022 American Control Conference (ACC), 3482-3487. 8 (2022).
  • HJ Yoon, C Tao, H Kim, N Hovakimyan, P Voulgaris. "Adaptive Risk Sensitive Path Integral for Model Predictive Control via Reinforcement Learning." 2023 31st Mediterranean Conference on Control and Automation (MED), 926-931. (2023).
  • N Hovakimyan, H Kim, W Wan, C Tao. "Safe Operation of Connected Vehicles in Complex and Unforeseen Environments." I-ACT-21-06. (2022).
  • PZ Zhao, YM Mao, C Tao, N Hovakimyan, X Wang. "Robust Adaptive Quadratic Programs using Control Lyapunov and Barrier Functions." IEEE Conference on Decision and Control. (2020).
  • H Kim, C Tao, N Hovakimyan. "Socially Aware Motion Planning for a Flying Robot with Model Predictive Path Integral Control." (Year not provided).

Teaching教学经历

  • ME 461 - Computer Control of Mechanical Systems, University of Illinois Urbana-Champaign

    Instructor. Fall 2024.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Mohamed Ali Belabbas. Spring 2024.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Mohamed Ali Belabbas. Fall 2023.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Katie Driggs-Campbell. Spring 2023.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Yuliy Baryshnikov. Fall 2022.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Joohyung Kim. Spring 2022.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Katie Driggs-Campbell. Fall 2021.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Joohyung Kim. Spring 2021.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Mohamed Ali Belabbas. Fall 2020.

  • ECE 470 - Introduction to Robotics, University of Illinois Urbana-Champaign

    Teaching Assistant (TA) with Prof. Katie Driggs-Campbell. Spring 2020.