activity
20182022
most citedDynamic and Versatile Humanoid Walking via Embedding 3D Actuated SLIP Model with Hybrid LIP Based Stepping

31 citations · 42 across the 7 of their papers we have counts for

collaborators

12 papers

cs.RO2022

From Human Walking to Bipedal Robot Locomotion: Reflex Inspired Compensation on Planned and Unplanned Downsteps

Joris Verhagen, Xiaobin Xiong, Aaron Ames +1

Humans are able to negotiate downstep behaviors -- both planned and unplanned -- with remarkable agility and ease. The goal of this paper is to systematically study the translation…

cs.RO2022

Robust Disturbance Rejection for Robotic Bipedal Walking: System-Level-Synthesis with Step-to-step Dynamics Approximation

Xiaobin Xiong, Yuxiao Chen, Aaron Ames

We present a stepping stabilization control that addresses external push disturbances on bipedal walking robots. The stepping control is synthesized based on the step-to-step (S2S)…

cs.RO2021

Bipedal Walking on Constrained Footholds: Momentum Regulation via Vertical COM Control

Min Dai, Xiaobin Xiong, Aaron Ames

This paper presents an online walking synthesis methodology to enable dynamic and stable walking on constrained footholds for underactuated bipedal robots. Our approach modulates t…

cs.RO2021

SLIP Walking over Rough Terrain via H-LIP Stepping and Backstepping-Barrier Function Inspired Quadratic Program

Xiaobin Xiong, Aaron Ames

We present an advanced and novel control method to enable actuated Spring Loaded Inverted Pendulum model to walk over rough and challenging terrains. The high-level philosophy is t…

cs.RO2021

3D Underactuated Bipedal Walking via H-LIP based Gait Synthesis and Stepping Stabilization

Xiaobin Xiong, Aaron Ames

In this paper, we holistically present a Hybrid-Linear Inverted Pendulum (H-LIP) based approach for synthesizing and stabilizing 3D foot-underactuated bipedal walking, with an emph…

cs.RO20204 cited

Risk-Averse Planning via CVaR Barrier Functions: Application to Bipedal Robot Locomotion

Mohamadreza Ahmadi, Xiaobin Xiong, Aaron D. Ames

Enforcing safety in the presence of stochastic uncertainty is a challenging problem. Traditionally, researchers have proposed safety in the statistical mean as a safety measure in…