Advising

I work with graduate students to develop risk-aware planning, control, and learning algorithms for autonomous systems.

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Guglielmo Daddi, Ph.D. student, Politecnico di Torino, Visiting JPL student

• Project: Risk-bounded Planning for EELS robot. 

Kazuya Echigo Ph.D. student, University of Washington, Visiting JPL student

• Project: Risk-bounded nonlinear trajectory planning. 
   

Masafumi Endo, Ph.D. student,, Keio University, Japan, Visiting JPL student

• Project: Continuous-time real-time risk-bounded planning.
   

Sangli Teng, Ph.D student, University of Michigan Ann Arbor

• Project: Moment-based convex nonlinear trajectory planning and nonlinear estimation.
   

Jared Miller, PhD, Northeastern University

• Project: Convex Computation of Value-at-Risk Bounds for Stochastic Processes.

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

• Project: Model-based learning and planning 
   

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

• Project: Moment-based risk-bounded trajectory planning for autonomous vehicles. 

• Now at Boston Dynamics.
   

Weiqiao Han, PhD, 2020-2023, Electrical Engineering and Computer Science, MIT

• Project:  Nonlinear risk-bounded trajectory planning. 
   

Charlses Dawson, Master's, 2019-2021, Department of Aeronautics and Astronautics, MIT

• Project: Motion planning under uncertainty
   

Xin (Cyrus) Huang, Master's and PhD, 2017-2022, Department of Aeronautics and Astronautics, MIT

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

Sungkweon Hong, PhD, 2017-2022, Department of Aeronautics and Astronautics, MIT

• Project: Hybrid risk aware conditional planning.
   

Simon Fang, PhD, 2017-2021, Mechanical Engineering Department, MIT.

• Project: Chance constrained mixed logic programming.
   

Jingkai Chen, PhD, 2020-2022,  Department of Aeronautics and Astronautics, MIT

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

​Marlyse Reeves, PhD, 2020-2024, Department of Aeronautics and Astronautics, MIT

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

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

• Project: Planning under uncertainty in resource-constrained systems
   

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

• Project: Online risk-aware conditional planning. 
   

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

• Project: Mapless risk bounded motion planning
   

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

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

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

• Project: Robust Human Activity Monitoring.
   

Majid Khonji, 2018-2019, Visiting Faculty Member,

• Project: Risk-aware planning for autonomous vehicles.

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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 everyone.

• 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.