Vijeth Hebbar
Papers
1
Total Citations
2
H-Index
1
About
Vijeth Hebbar is a researcher whose work bridges human-robot interaction (HRI) and multi-agent systems, with a particular focus on tacit communication in collaborative search-and-rescue (SAR) operations. His most cited paper, "A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue" (2021), introduces a novel framework that models SAR scenarios as an asymmetric rendezvous game, where limited signaling between a human rescuer and an unmanned aerial vehicle (UAV) enables efficient coordination without explicit dialogue. This contribution is significant for its potential to enhance real-world emergency response by leveraging subtle, non-verbal cues to improve team performance. While his citation count is currently modest (2 citations for this work), Hebbar’s research addresses a critical gap in HRI—how agents can achieve shared goals under communication constraints. His work is particularly relevant for students and researchers interested in game-theoretic approaches to robotics, human factors in autonomous systems, and the design of intuitive interfaces for disaster response. Hebbar’s focus on tacit interaction offers a compelling pathway for developing more natural and resilient human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1