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About

Wang-tai Lo is a robotics and human-robot interaction researcher whose work has made meaningful contributions to the field of Internet-based teleoperation and remote robotic systems. His research focuses primarily on network Quality of Service (QoS) optimization, real-time teleoperation control, and multi-sensory feedback for remote manipulation — areas that became increasingly critical as networked robotics emerged in the early 2000s. Lo's most influential contributions address the fundamental challenge of operating robotic systems reliably over unpredictable Internet connections. His task-driven, dynamic QoS bandwidth allocation framework and event-based control techniques for guaranteeing teleoperation stability under variable network delays have each garnered 24 citations, reflecting their relevance to both research and practical deployment. Beyond network management, Lo explored richer operator feedback modalities, notably comparing 3D stereoscopic against traditional 2D visual feedback (17 citations) and developing an integrated tactile feedback system for multifingered robot hands (13 citations), advancing the fidelity of remote human-machine interaction. His work on cooperative multi-robot Internet control with force reflection further extended these principles to collaborative systems. Collectively, Lo's research helped establish foundational strategies for safe, efficient, and perceptually immersive teleoperation — making him a noteworthy contributor to the early development of networked robotics infrastructure.