EVE: Enabling Anyone to Train Robots using Augmented Reality

9 April 2024

Papers citing "EVE: Enabling Anyone to Train Robots using Augmented Reality"

7 / 7 papers shown

Title
AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons Hongjie Fang Chenxi Wang Yiming Wang J. Chen Shangning Xia ... Xinyu Zhan Lixin Yang Weiming Wang Cewu Lu Hao-Shu Fang 87 1 0 05 Mar 2025
Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans Dibyendu Das Aditya Patankar Nilanjan Chakraborty C. Ramakrishnan I. Ramakrishnan 16 0 0 23 Oct 2024
VITAL: Visual Teleoperation to Enhance Robot Learning through Human-in-the-Loop Corrections H. Kasaei M. Kasaei 37 1 0 30 Jul 2024
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation Chen Wang Haochen Shi Weizhuo Wang Ruohan Zhang Fei-Fei Li Karen Liu 55 104 0 12 Mar 2024
How to Communicate Robot Motion Intent: A Scoping Review Max Pascher Uwe Gruenefeld Stefan Schneegass Jens Gerken 35 45 0 01 Mar 2023
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli Dieter Fox LM&Ro 163 460 0 12 Sep 2022
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 220 0 27 Sep 2021