High-density Electromyography for Effective Gesture-based Control of Physically Assistive Mobile Manipulators
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Abstract (arXiv)
High-density electromyography (HDEMG) can detect myoelectric activity as control inputs to a variety of electronically-controlled devices. Furthermore, HDEMG sensors may be built into a variety of clothing, allowing for a non-intrusive myoelectric interface that is integrated into a user's routine. In our work, we introduce an easily-producible HDEMG device that interfaces with the control of a mobile manipulator to perform a range of household and physically assistive tasks. Mobile manipulators can operate throughout the home and are applicable for a spectrum of assistive and daily tasks in the home. We evaluate the use of real-time myoelectric gesture recognition using our device to enable precise control over the intricate mobility and manipulation functionalities of an 8 degree-of-freedom mobile manipulator. Our evaluation, involving 13 participants engaging in challenging self-care and household activities, demonstrates the potential of our wearable HDEMG system to control a mobile manipulator in the home.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Dec 2023.
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Citing papers per year: 2024: 3; 2025: 2; 2026: 1.
6 papers.
- 2024VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robotscited by 16
- 2024EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyographycited by 7
- 2024Towards an LLM-Based Speech Interface for Robot-Assisted Feedingcited by 2
- 2025LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperationcited by 2
- 2025DiG-Net: Enhancing Human-Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Roboticscited by 0
- 2026MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjectscited by 0
- 2026MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects15 Sep 2026
- 2025DiG-Net: Enhancing Human-Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics30 May 2025
- 2025LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation15 Jan 2025
- 2024EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography31 Oct 2024
- 2024Towards an LLM-Based Speech Interface for Robot-Assisted Feeding27 Oct 2024
- 2024VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots5 Apr 2024