Prajankya Sonar
Papers
1
Total Citations
9
H-Index
1
About
Prajankya Sonar investigates the intersection of human-robot interaction and multi-agent systems, with a focus on how teams of humans and robots collaborate effectively at a distance. His most-cited work, "On multi-human multi-robot remote interaction: a study of transparency, inter-human communication, and information loss in remote interaction" (2022, 9 citations), addresses a critical challenge in remote collaboration: maintaining situational awareness and trust when humans and robots are physically separated. Sonar’s research systematically examines how transparency—the degree to which a robot’s intentions and actions are visible—affects inter-human communication and the inevitable information loss that occurs in distributed teams. By identifying key factors that degrade performance in multi-human, multi-robot settings, his work provides foundational insights for designing more intuitive interfaces and protocols for remote operations, such as disaster response or space exploration. This contribution has already garnered attention from researchers in human-robot interaction and teleoperation, marking Sonar as a rising voice in understanding the social and technical dynamics of mixed human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1