Heavy lifting tasks via haptic teleoperation of a wheeled humanoid
Amartya Purushottam, Jack Yan, Christopher Yu, Joao Ramos

TL;DR
This paper introduces a teleoperation framework for a wheeled humanoid robot that enables human pilots to perform heavy lifting tasks through whole-body control, haptic feedback, and dynamic balance assistance, validated with real-world experiments.
Contribution
It presents a novel teleoperation system integrating haptic feedback and whole-body motion retargeting for dynamic mobile manipulation of heavy payloads.
Findings
Successful lifting of payloads up to 2.5 kg (21% of robot mass)
Effective balance assistance through different telelocomotion mappings
Demonstrated coordinated control of posture, locomotion, and manipulation
Abstract
Humanoid robots can support human workers in physically demanding environments by performing tasks that require whole-body coordination, such as lifting and transporting heavy objects.These tasks, which we refer to as Dynamic Mobile Manipulation (DMM), require the simultaneous control of locomotion, manipulation, and posture under dynamic interaction forces. This paper presents a teleoperation framework for DMM on a height-adjustable wheeled humanoid robot for carrying heavy payloads. A Human-Machine Interface (HMI) enables whole-body motion retargeting from the human pilot to the robot by capturing the motion of the human and applying haptic feedback. The pilot uses body motion to regulate robot posture and locomotion, while arm movements guide manipulation.Real time haptic feedback delivers end effector wrenches and balance related cues, closing the loop between human perception and…
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Taxonomy
TopicsBiomedical and Engineering Education · Robotic Locomotion and Control
