Eric Scott Miles
Papers
1
Total Citations
6
H-Index
1
About
Eric Scott Miles is a robotics researcher whose work bridges human intuition and machine autonomy. His most-cited paper, “Utilizing human vision and computer vision to direct a robot in a semi-structured environment via task-level commands” (2002), introduced a pioneering framework for human-robot collaboration. By integrating live video feeds with simple point-and-click commands, Miles enabled operators to guide highly autonomous robots through unpredictable settings—such as disaster zones or industrial sites—without requiring deep technical expertise. This approach leverages human perception to handle unexpected obstacles while the robot executes task-level directives, reducing cognitive load and improving efficiency. Though his citation count (6) reflects a niche but impactful contribution, the work stands as an early example of shared autonomy, influencing later developments in teleoperation and human-in-the-loop systems. Miles’ research underscores a key insight: the most effective robots are not fully independent but rather partners that amplify human capabilities. For students and researchers exploring human-robot interaction, his work offers a foundational lesson in designing systems that balance machine precision with human adaptability.
Research Focus
Key Achievements
Top Papers
- 1