Robotics engineer interested in motion planning, optimal control and machine learning UC Berkeley Ph.D Candidate in MPC Lab
Proposed a real-time tractiable stochastic MPC with affine disturbance feedback policy using SVD feature extraction
We proposed novel energy-efficient motion planning algorithm which consists of the lane selector, which selects a lane to reduce energy...
Proposed a Stochastic MPC formulation for autonomous driving with multi-modal predictions of surrounding vehicles
Proposed a novel and efficient offline sampled based approach to design a stochastic MPC for constrained linear systems with an...
Worked on how to solve multi-contact dynamics based games using optimal control and machine learning
Developed the adaptive optimal controller of power-assisted wheelchair with human-interaction and Integrated whole system from sensors and controller to communications...
In this research, I apply DQN(Deep Q-network) to solving the cooperative carrying object problem. To optimize the learning method for...
What I did Skill : Matlab, Simulink, C Keywords : Feedback linerization, Gain optimization with Greedy Algorithm, Passive decomposition, Robust...
What I did Skill : Matlab, Simulink, Robotic Toolbox from Peter Corke Keywords : Computed Torque Control, Robust/Adaptive Passivity based...
Developed the Fitness Automatic Record and Analysis Solution through matlab and bluetooth communications.
