Liang-Jung Chen

Papers

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About

Liang-Jung Chen is a pioneering researcher at the intersection of assistive robotics and human-robot interaction, with a primary focus on developing accessible teleoperation systems for individuals with severe motor impairments. Their most-cited work, "HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators" (2023, 6 citations), introduces a novel head-worn interface that enables users to control mobile manipulators for performing activities of daily living (ADLs) without caregiver assistance. This contribution directly addresses a critical gap in assistive technology by allowing individuals with limited upper-body mobility to regain independence in home environments. Chen's research emphasizes intuitive, non-invasive control methods that reduce cognitive load while maintaining precision in manipulation tasks. By designing systems that prioritize user autonomy and ease of use, Chen's work has laid foundational principles for future assistive robotics interfaces. Their approach combines hardware innovation with user-centered design, demonstrating how head-gesture-based teleoperation can transform the lives of those with motor impairments. With growing interest in accessible robotics, Chen's contributions are poised to influence both academic research and real-world assistive technology deployments.