Lisa Koenigsberg
Papers
2
Total Citations
33
H-Index
1
About
Dr. Lisa Koenigsberg is pioneering accessible human-robot interaction through vision-based gesture recognition. Her research focuses on enabling natural, intuitive communication between humans and robots using only standard web-camera technology—eliminating the need for expensive specialized sensors. Her most impactful work, "Ultra-Range Gesture Recognition using a web-camera in Human–Robot Interaction" (2024, 32 citations), demonstrates robust gesture detection across unprecedented distances, significantly expanding the practical deployment scenarios for collaborative robots. Her ongoing research into real-time finger-pointing recognition and estimation (2025) addresses a fundamental challenge in robotics: translating human spatial directives—such as pointing to an object or location—into actionable robot commands. By leveraging the rich spatial reference information inherent in pointing gestures, Dr. Koenigsberg's work bridges the gap between human communication preferences and machine interpretation. Her contributions are particularly notable for their emphasis on computational efficiency and real-time performance, making advanced gesture-based control accessible for everyday robotic applications. With her focus on democratizing human-robot interaction through ubiquitous hardware, Dr. Koenigsberg is shaping a future where robots can understand us as naturally as we understand each other.
Research Focus
Key Achievements
Top Papers
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