Binh An Tran

Papers

Total Citations

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About

Binh An Tran’s research lies at the intersection of human-robot interaction, teleoperation, and distributed computing for real-time vision and control systems. His most influential work, “Shared-Control Paradigms in Multi-Operator-Single-Robot Teleoperation” (2009, 19 citations), addresses the critical challenge of coordinating multiple human operators controlling a single robot, proposing shared-control frameworks that balance autonomy and human input—a foundational contribution to collaborative robotics. Tran also advanced parallel computing for robotics with his 2010 paper on automatic distribution of vision-tasks across computing clusters. This work introduced a multi-agent, blackboard-based system that efficiently manages real-time actuator control and computer vision tasks, offering a generic hardware abstraction interface. By enabling scalable, real-time processing, Tran’s system has practical implications for autonomous robots and intelligent environments. Though his citation counts are modest, his conceptual contributions to shared-control paradigms and distributed vision systems have influenced subsequent research in multi-operator teleoperation and cluster-based robotics. Tran’s work demonstrates a commitment to solving fundamental coordination and computational bottlenecks in robotics, making him a notable figure in the evolution of human-robot teaming and real-time distributed systems.