Trajectory optimization under uncertainties is a challenging problem for...
Generation of robust trajectories for legged robots remains a challengin...
State of the art legged robots are either capable of measuring torque at...
Online planning of whole-body motions for legged robots is challenging d...
In this paper, we propose a novel framework capable of generating variou...
In this paper we explore the use of block coordinate descent (BCD) to
op...
In this work we present a general, two-stage reinforcement learning appr...
This paper addresses the problem of computing optimal impedance schedule...
Reactive stepping and push recovery for biped robots is often restricted...
In the past decade, numerous machine learning algorithms have been shown...
In this paper, we present a novel two-level variable Horizon Model Predi...
Model predictive control (MPC) has shown great success for controlling
c...
This paper investigates the problem of efficient computation of physical...
Dexterous object manipulation remains an open problem in robotics, despi...
Linear Model Predictive Control (MPC) has been successfully used for
gen...
We present a new open-source torque-controlled legged robot system, with...
Reinforcement learning algorithms have shown great success in solving
di...
Trajectory optimization (TO) is one of the most powerful tools for gener...
Trajectory optimization (TO) is one of the most powerful tools for gener...
In this paper, we present an approach for generating a variety of whole-...
Available possibilities to prevent a biped robot from falling down in th...