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

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
"What’s That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: The University of Texas at Austin, Bharati Vidyapeeth Deemed University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago