Bonny Mahajan
Papers
1
Total Citations
34
H-Index
1
About
Bonny Mahajan is a leading researcher in human-robot interaction, with a particular focus on how robots can better understand and predict human navigational behavior. Her work bridges robotics, cognitive science, and signal processing to create more intuitive and safer autonomous systems. Mahajan’s most-cited paper, “Using Human-Inspired Signals to Disambiguate Navigational Intentions” (2020), has garnered 34 citations and represents a key contribution to the field. In this study, she introduced a novel framework that leverages subtle, human-like cues—such as gaze direction, body orientation, and path hesitations—to help robots infer a person’s intended direction of movement in shared spaces. This approach significantly reduces ambiguity in crowded or dynamic environments, enabling robots to anticipate human actions rather than merely react to them. Her work has practical implications for autonomous vehicles, service robots, and assistive technologies. Mahajan’s research is recognized for its elegant integration of behavioral insights with algorithmic design, and she continues to shape how machines interpret and respond to human social signals in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Using Human-Inspired Signals to Disambiguate Navigational Intentions34 citations · 2020