Papers
2
Total Citations
17
H-Index
2
About
Shikhar Gupta investigates the intersection of human-robot interaction and artificial intelligence, with a focus on autonomous systems in public spaces. His most cited work, “What’s That Robot Doing Here?” (2023, 15 citations), examines how people perceive incidental encounters with autonomous quadruped robots, specifically testing whether visual cues of human control—like a leash—affect public comfort and trust. This study addresses a critical gap in robotics research, as autonomous service robots increasingly operate in unstructured environments. Gupta’s findings have implications for designing socially acceptable robots that integrate seamlessly into daily life. He also explores deep learning applications for signboard transliteration (2021), demonstrating versatility in AI-driven language processing. Though early in his career, Gupta’s work on human-robot dynamics is gaining traction, contributing to safer, more intuitive autonomous systems. His research is particularly relevant for students and engineers developing robots for hospitality, healthcare, or urban settings, where unscripted human encounters are inevitable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Review of Signboard Transliteration Using Deep Learning2 citations · 2021