Effective Virtual Reality Teleoperation of an Upper-body Humanoid with Modified Task Jacobians and Relaxed Barrier Functions for Self-Collision Avoidance
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Abstract (arXiv)
We present an approach for retartgeting off-the-shelf Virtual Reality (VR) trackers to effectively teleoperate an upper-body humanoid while ensuring self-collision-free motions. Key to the effectiveness was the proper assignment of trackers to joint sets via modified task Jacobians and relaxed barrier functions for self-collision avoidance. The approach was validated on Apptronik's Astro hardware by demonstrating manipulation capabilities on a table-top environment with pick-and-place box packing and a two-handed box pick up and handover task.
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References · 12
- 2017Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperationcited by 286
- 2020Human-in-the-Loop Imitation Learning using Remote Teleoperationcited by 103
- 2019Feedback MPC for Torque-Controlled Legged Robotscited by 19
- 2019Whole-Body Geometric Retargeting for Humanoid Robotscited by 19
- 2018Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segwaycited by 15
- 2022A Collision-Free MPC for Whole-Body Dynamic Locomotion and Manipulationcited by 15
- 2019A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robotcited by 10
- 2015Relaxed Logarithmic Barrier Function Based Model Predictive Control of Linear Systemscited by 8
- 2018Telexistence and Teleoperation for Walking Humanoid Robotscited by 5
- 2019Dynamic Locomotion For Passive-Ankle Biped Robots And Humanoids Using Whole-Body Locomotion Controlcited by 5
- 2019Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summarycited by 3
- 2022Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functionscited by 2
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