Katz Dror
Papers
1
Total Citations
23
H-Index
1
About
Dror Katz is a robotics researcher whose work centers on human-robot interaction, with a particular focus on developing robots that can move alongside people in socially intuitive and efficient ways. His most-cited paper, “The influence of following angle on performance metrics of a human-following robot” (2016, 23 citations), investigates how the angle at which a robot follows a human affects both the person’s comfort and the robot’s tracking accuracy. This foundational study addresses a critical gap in socially aware navigation, demonstrating that subtle changes in following geometry can significantly impact user experience and system performance. By quantifying these effects, Katz’s work provides practical design guidelines for robots that must operate in crowded or collaborative environments, such as service robots, assistive devices, or autonomous companions. His research bridges robotics, psychology, and human factors, offering actionable insights for engineers building more natural and acceptable robot behaviors. Though early in his career, Katz’s contributions are already informing the next generation of human-aware motion planning, making him a promising voice in the field of socially interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1