Menu
Home
Usefull links
HSL
VeCaN lab
Jemdoc

Wang, Nan (王 南)

alt text 

Graduate Student Researcher in Hybrid Systems Laboratory,
Ph.D. candidate,
Department of Computer Science and Engineering,
University of California, Santa Cruz,
E-mail: before @ put ‘‘nanwang’’, and after the @ symbol write ucsc <dot > edu,
Address: Engineering 2-515, 1156 High Street, Santa Cruz, CA 95064.
LinkedIn; Google Scholar; ResearchGate

About Me

I received B.S. degree in automation science and engineering from East China University of Science and Technology, China, in 2015 and M.S. degree in control theory and engineering from Tongji University, China, in 2018. I am currently a Ph.D candidate in computer science and engineering in University of California, Santa Cruz advised by Prof. Ricardo Sanfelice.

Research

My research interests include

  • Motion planning for hybrid systems

  • Modeling, computation and analysis of hybrid systems

  • Model Predictive Tracking control for hybrid systems

  • Constrained control

Awards

  1. Chancellor's Fellowship

Recent Publications

Conference Papers:

  1. N. Wang and R. Sanfelice, "HyRRT-Connect: A Bidirectional Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Systems ", Submitted to 8th IFAC Conference on Analysis and Design of Hybrid Systems.

  2. N. Wang, S. Di Cairano, R. Sanfelice, "A Switched Reference Governor for High Performance Trajectory Tracking", accepted by 2024 American Control Conference.

  3. N. Wang, A. Akhtar, E. Partika, R. Sanfelice. "Hybrid Globally Path-Invariant Control for Unmanned Ground Vehicle", submitted to 2024 IEEE International Conference on Robotics and Automation.

  4. N. Wang and R. Sanfelice, "HySST: An Asymptotically Near-Optimal Motion Planning Algorithm for Hybrid Systems", The 62nd IEEE Conference on Decision and Control.

  5. N. Wang and R. Sanfelice, "Rapidly-exploring Random Tree Algorithm for Hybrid Dynamical Systems”, The 61st IEEE Conference on Decision and Control.

  6. A. Ames, N. Wang and R. Sanfelice, "A Set-based Motion Planning Algorithm for Aerial Vehicles in the Presence of Obstacles Exhibiting Hybrid Dynamics.", The 6th IEEE Conference on Control Technology and Applications.

  7. M. Song, N. Wang, J. Wang and Timothy Gordon, “A fluid dynamics approach to motion control for rigid autonomous ground vehicles”, 25th International Symposium on Dynamics of Vehicles on Roads and Tracks.

  8. N. Wang, M. Song, J. Wang, and Timothy Gordon, ” A flow field guided path planning method for unmanned ground vehicle”, The 56th IEEE Conference on Decision and Control.

Journal Papers:

  1. M. Song, N. Wang, J. Wang and Timothy Gordon, “Flow-field guided steering control for rigid autonomous ground vehicles in low-speed maneuvering”, Vehicle System Dynamics Special Journal Issue: Motion Control for Automated Driving and Autonomous Functions.

Patents:

  1. Nan Wang, Mengxuan Song, Jun Wang, A Fluid Flow based Planning Method for Autonomous Vehicle. (Patent Number: ZL 2017 1 1144695.0)

  2. Nan Wang, Mengxuan Song, Jun Wang, A Trajectory Planning Method based on Fluid Flow for Autonomous Vehicle. (Patent Number: ZL 2017 1 1240203.8)

Posters:

  1. N. Wang, and R. Sanfelice, ” Motion Planning for Hybrid Dynamical Systems”, 2019 Bay Area Robotics Symposium.

  2. N. Wang, and R. Sanfelice, ” Motion Planning for Hybrid Dynamical Systems”, 2020 16th Annual Graduate Research Symposium, UC Santa Cruz.

  3. N. Wang, and R. Sanfelice, ” HyRRT/HySST: Sampling-based Motion Planning Algorithms for Hybrid Dynamical Systems”, The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit.

Presentations:

  1. N.Wang, and R. Sanfelice, ” Hybrid RRT: Motion Planning for Hybrid Dynamical Systems”, 2022 4th annual NorCal Control Workshop.

  2. N.Wang, and R. Sanfelice, "HyRRT: A Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Dynamical Systems", 2022 1st Brown Bag Seminar.

Academic Service

  1. Technical committee member: IEEE Control System Society Technical Committee on Hybrid Systems

  2. Journal reviewer:

    1. IEEE Transactions on Automatic Control,

    2. IEEE Control Systems Letters,

    3. IEEE Robotics and Automation Letters.

  3. Conference reviewer:

    1. IEEE Conference on Decision and Control (2019/2020/2021/2022/2023),

    2. American Control Conference (2020/2022/2024),

    3. International Conference on Advanced Robotics (2021/2023),

    4. IEEE Conference on Control Technology and Applications (2022/2023).

Teaching Assistance

  1. Computer Systems and C Programming (CSE13S). University of California, Santa Cruz: 2020 Winter.

  2. Database System (CSE181). University of California, Santa Cruz: 2020 Spring/2021 Spring.

  3. Analysis of Algorithm (CSE 201). University of California, Santa Cruz: 2021 Fall.

Students Supervision

  1. Adam Ames, A Set-based Motion Planning Algorithm for Aerial Vehicles in the Presence of Obstacles Exhibiting Hybrid Dynamics.

Hobbies


My resume.
My cv.