Alexander Muir
Papers
2
Total Citations
9
H-Index
2
About
Alexander Muir is a researcher focused on human-robot interaction (HRI), with a particular emphasis on making robotic systems accessible to untrained users in the developing world. His work explores low-cost, intuitive control methods for mobile robots, such as using smartphone tilt gestures to operate Unmanned Ground Vehicles (UGVs). Muir’s major contributions include comparative usability assessments of HRI input devices and the development of naturalistic gesture-based interfaces that reduce the learning curve for non-expert operators. His most cited paper, "Comparative empirical usability assessment of two HRI input devices for a mobile robot" (2017, 5 citations), demonstrates how affordable smartphone apps like ROS Control can replace expensive controllers, while his follow-up work on naturalistic gestures (2017, 4 citations) specifically addresses the needs of populations with limited technology exposure. Though his citation counts are modest, Muir’s research is notable for its practical, human-centered approach—bridging the gap between advanced robotics and real-world accessibility. His work has implications for disaster response, agriculture, and community robotics in resource-constrained settings, highlighting the importance of designing for inclusivity rather than technical sophistication alone.
Research Focus
Key Achievements
Top Papers
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