Hari Malik Mu'allimi
Papers
1
Total Citations
7
H-Index
1
About
Hari Malik Mu'allimi is a researcher whose work sits at the intersection of human-robot interaction and assistive robotics, with a particular focus on developing intuitive coordination systems between humans and autonomous guides. His most-cited paper, "Human Partner and Robot Guide Coordination System Under Social Force Model Framework Using Kinect Sensor" (2020, 7 citations), introduces a novel framework that leverages the Social Force Model and Kinect sensor data to enable a robot guide to dynamically adapt its movement to ensure a human partner reliably follows it to a destination. This contribution addresses a critical challenge in assistive robotics—maintaining user engagement and trust during navigation tasks. By modeling the social forces between human and robot, Mu'allimi’s work provides a foundation for more natural, safe, and responsive guide robots, with potential applications in healthcare, elderly assistance, and public spaces. His research demonstrates a commitment to bridging theoretical models with practical sensor-driven implementations, offering valuable insights for students and researchers exploring how robots can become more effective, socially aware companions in everyday environments.
Research Focus
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Top Papers
- 1