Reinforcement Learning (RL) can solve complex tasks but does not
intrins...
The functional demands of robotic systems often require completing vario...
Humans are able to negotiate downstep behaviors – both planned and unpla...
We present a stepping stabilization control that addresses external push...
This paper presents an online walking gait synthesis and a feedback cont...
We present an advanced and novel control method to enable actuated Sprin...
In this paper, we present a Hybrid-Linear Inverted Pendulum (H-LIP) base...
Global position control for underactuated bipedal walking is a challengi...
Artificial potential fields (APFs) and their variants have been a staple...
In this paper, we propose an efficient approach to generate dynamic and
...
In this paper, we present a sequential motion planning and control metho...
Sample-based learning model predictive control (LMPC) strategies have
re...
Modern nonlinear control theory seeks to endow systems with properties o...
In this paper, 3D humanoid walking is decoupled into periodic and
transi...
A Hybrid passive Linear Inverted Pendulum (HLIP) model is proposed for
c...
This paper presents the design and validation of controlling hopping on ...