3 papers
cs.RO2020
Robust walking based on MPC with viability guarantees
Mohammad Hasan Yeganegi, Majid Khadiv, Andrea Del Prete +2
Model predictive control (MPC) has shown great success for controlling complex systems such as legged robots. However, when closing the loop, the performance and feasibility of the…
cs.RO2019
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Mohammad Hasan Yeganegi, Majid Khadiv, S. Ali A. Moosavian +3
Trajectory optimization (TO) is one of the most powerful tools for generating feasible motions for humanoid robots. However, including uncertainties and stochasticity in the TO pro…
cs.RO2019
Trajectory Optimization for Robust Humanoid Locomotion with Sample-Efficient Learning
Majid Khadiv, Mohammad Hasan Yeganegi, S. Ali A. Moosavian +2
Trajectory optimization (TO) is one of the most powerful tools for generating feasible motions for humanoid robots. However, including uncertainties and stochasticity in the TO pro…