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Hands-free Telelocomotion of a Wheeled Humanoid

Amartya Purushottam, Yeongtae Jung, Kevin Murphy, Donghoon Baek, João Ramos

Year
2022
Citations
7

Abstract

Robotic systems capable of Dynamic Mobile Manipulation (DMM) tasks combine dynamic manipulation and locomotion and could facilitate dangerous or physically demanding labor. For instance, firefighter humanoid robots could leverage their body by leaning against collapsed building rubble to push it aside. Here we introduce a teleoperation system that targets the realization of these tasks using human's whole-body motor skills. We describe a new wheeled humanoid platform, SATYRR, and a novel hands-free teleoperation architecture using a whole-body Human Machine Interface (HMI). This system enables telelocomotion of the humanoid robot using the operator's body motion, freeing their arms for manipulation tasks. In this study we evaluate the efficacy of the proposed system on hardware, and explore the control of SATYRR using two teleoperation mappings that map the operators body pitch and yaw to the robot's velocity or acceleration. Through experiments and user feedback we showcase our preliminary findings of the pilot-system response. Results suggest that the HMI is capable of effectively telelocomoting SATYRR, that pilot preferences should dictate the appropriate motion mapping and gains, and finally that the pilot can better learn to control the system over time. This study represents a fundamental step towards the realization of combined manipulation and locomotion via teleoperation.

Keywords

TeleoperationHumanoid robotComputer scienceRobotSimulationHuman–computer interactionArtificial intelligence

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