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TeLeMan: Teleoperation for Legged Robot Loco-Manipulation using Wearable IMU-based Motion Capture

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arxiv 2209.10314 v1 pith:ECM3DV6L submitted 2022-09-21 cs.RO

TeLeMan: Teleoperation for Legged Robot Loco-Manipulation using Wearable IMU-based Motion Capture

classification cs.RO
keywords robothumanteleoperationtelepresenceleggedmanipulatorsystemautonomy
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Human life is invaluable. When dangerous or life-threatening tasks need to be completed, robotic platforms could be ideal in replacing human operators. Such a task that we focus on in this work is the Explosive Ordnance Disposal. Robot telepresence has the potential to provide safety solutions, given that mobile robots have shown robust capabilities when operating in several environments. However, autonomy may be challenging and risky at this stage, compared to human operation. Teleoperation could be a compromise between full robot autonomy and human presence. In this paper, we present a relatively cheap solution for telepresence and robot teleoperation, to assist with Explosive Ordnance Disposal, using a legged manipulator (i.e., a legged quadruped robot, embedded with a manipulator and RGB-D sensing). We propose a novel system integration for the non-trivial problem of quadruped manipulator whole-body control. Our system is based on a wearable IMU-based motion capture system that is used for teleoperation and a VR headset for visual telepresence. We experimentally validate our method in real-world, for loco-manipulation tasks that require whole-body robot control and visual telepresence.

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    Pretraining π0.5 on the crowdsourced AXIS simulation dataset (207 tasks, 50K+ trajectories) raises downstream LIBERO-Plus success from 83.9% to 88.8% as the pretraining corpus grows from none to the full dataset.