3 papers
cs.RO2023
RObotic MAnipulation Network (ROMAN) -- Hybrid Hierarchical Learning for Solving Complex Sequential Tasks
Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu +1
Solving long sequential tasks poses a significant challenge in embodied artificial intelligence. Enabling a robotic system to perform diverse sequential tasks with a broad range of…
cs.RO2023
Agile and Versatile Robot Locomotion via Kernel-based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei +1
This work developed a kernel-based residual learning framework for quadrupedal robotic locomotion. Initially, a kernel neural network is trained with data collected from an MPC con…
cs.RO2021
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
Zhaocheng Liu, Fernando Acero, Zhibin Li
Legged robots are becoming increasingly powerful and popular in recent years for their potential to bring the mobility of autonomous agents to the next level. This work presents a…