Research Team

Here at MIT, I lead a group of graduate students to develop risk-aware and robust planning and control algorithms for autonomous systems such as self-driving vehicles, underwater and aerial vehicles, and robotic arms. 

 

1. Allen Wang, Master's, 2018-2020, Department of Aeronautics and Astronautics, MIT, 

2. Weiqiao Han, PhD, 2020-Present, Electrical Engineering and Computer Science, MIT

  • Project:  Nonlinear risk-bounded trajectory planning. 

3. Charlses Dawson, Master's, 2019-Present, Department of Aeronautics and Astronautics, MIT

  • Project: Motion planning under uncertainty

4. Xin (Cyrus) Huang, Master's and PhD, 2017-Present, Department of Aeronautics and Astronautics, MIT

  • Project: Deep-learning for probabilistic trajectory prediction for intent recognition.

5. Sungkweon Hong, PhD, 2017-Present, Department of Aeronautics and Astronautics, MIT

  • Project: Hybrid risk aware conditional planning.

6. Simon Fang, PhD, 2017-Present, Mechanical Engineering Department, MIT.

  • Project: Chance constrained mixed logic programming.

7. Jingkai Chen, PhD, 2020-Present,  Department of Aeronautics and Astronautics, MIT

  • Project: Multi-agent task planning for cooperative robots.

8. Meng Feng,  Master's and PhD, 2020-Present, Department of Aeronautics and Astronautics, MIT

  • Project: Model-based learning and planning for robust manipulation

9. Marlyse Reeves, PhD, 2020-Present, Department of Aeronautics and Astronautics, MIT

  • Project: Risk-bounded multi-agent planning with Active learning

10. Dan Strawser, PhD, 2018-2019, Department of Mechanical Engineering, MIT

  • Project: Planning under uncertainty in resource-constrained systems

11. Matthew Deyo, Master's, 2016-2018, M.S. in the Department of Aeronautics and Astronautics, MIT

  • Project: Online risk-aware conditional planning. 

12. Yun Chang, 2017-2018, Department of Mechanical Engineering, MIT

  • Project: Mapless risk bounded motion planning

13. Siyu Dai, Master's, 2017-2019, Mechanical Engineering Department, MIT

  • Project: High-speed risk bounded motion planning Using Traj-Opt. 

14. Sang Uk Lee, 2016-2018, Department of Mechanical Engineering, MIT

  • Project: Robust Human Activity Monitoring.

15. Majid Khonji, 2018-2019, Visiting Faculty Member,

  • Project: Risk-aware planning for autonomous vehicles.

 

 

 

Supported By: 

  • IBM: Risk-bounded multi-agent planning with active learning.
  • Kawasaki Heavy Industries (KHI): Multi-agent task planning for cooperative robots.
  • Toyota Research Institute (TRI): Long-term multi-agent hybrid prediction.
  • Toyota Research Institute (TRI): Automation for eveyone.
  • Toyota Research Institute (TRI): GEORDI-A driver's assistant for risk-bounded maneuvering.
  • Boeing: Risk Aware Planning and Execution Monitoring for Safe Autonomous Aircraft Operation.
  • AIRBUS:Risk-bounded architecture for robot control.
  • Masdar: Multi-vehicle coordination with bounded risk.
  • Exxon Mobil: Underwater vehicle control.