Md. Golam Rashed
Papers
7
Total Citations
96
H-Index
5
About
Md. Golam Rashed is a pioneering researcher in human-robot interaction (HRI), specializing in social robotics and proactive service systems. His work centers on enabling robots to autonomously detect human attention, intention, and behavior—whether through visual focus, gaze patterns, or walking trajectories—to initiate natural, context-aware interactions. Rashed’s most influential paper, “Supporting Human–Robot Interaction Based on the Level of Visual Focus of Attention” (53 citations), introduces a system that estimates a person’s task engagement to decide when a robot should intervene, a breakthrough for non-intrusive assistance. He further advanced this vision with his museum guide robot research (collectively over 30 citations), where robots proactively approach visitors based on their interest in exhibits, blending computer vision with social etiquette. His 2018 survey on proactive HRI methods (3 citations) provides a critical roadmap for the field. Most recently, Rashed expanded into autonomous service robotics with RAJUNI (2024), a cooking robot that operates without human intervention, demonstrating his versatility. His work has profound implications for assistive technologies, public service robots, and everyday automation, making him a key figure in shaping how robots perceive and respond to human social cues.
Research Focus
Key Achievements
Top Papers
- 1
- 2Toward Museum Guide Robots Proactively Initiating Interaction with Humans14 citations · 2015
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- 5Recognizing gaze pattern for human robot interaction6 citations · 2014
- 6
- 7RAJUNI: Design and Implementation of an Autonomous Cooking Robot1 citations · 2024