Sameer Kishore

Universitat de Barcelona, Middlesex University Dubai

Papers

9

Total Citations

175

H-Index

7

About

Sameer Kishore is a researcher whose work spans human-robot interaction, virtual embodiment, and telepresence systems, with particular focus on the fascinating intersection of robotics, virtual reality, and human presence. His most influential contribution — "Comparison of SSVEP BCI and Eye Tracking for Controlling a Humanoid Robot in a Social Environment" (2014, 58 citations) — explored how brain-computer interfaces and eye-tracking can enable users to inhabit remote robotic bodies, creating compelling illusions of physical presence at distant locations. This theme of "beaming" — projecting oneself through robotic or virtual avatars — runs throughout his research, including pioneering work on multi-destination embodiment and tele-immersive journalism, demonstrating real-world applications in media and communication. His 2019 study on guilt during robot embodiment (27 citations) reveals a deeper psychological dimension to his work, examining how people emotionally identify with their robotic surrogates. Complementing these contributions, his real-time whole-body motion mapping system (2013, 27 citations) provided essential technical infrastructure for avatar and robot control. More recently, Kishore has turned toward accessible robotics, developing low-cost humanoid platforms and gesture- and speech-controlled systems, reflecting a commitment to democratizing advanced robotic technologies for education and healthcare applications.

Research Focus

Key Achievements

7
H-Index
9
Papers
175
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of SSVEP BCI and Eye Tracking for Controlling a Humanoid Robot in a Social Environment
58 citations · 2014
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Universitat de Barcelona, Middlesex University Dubai

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago