Papers
8
Total Citations
76
H-Index
5
About
Ayan Ghosh is a pioneering researcher at the intersection of human-robot interaction (HRI), haptic interfaces, and socially expressive robotics, with a focus on applications in extreme environments. His work addresses critical challenges in teleoperation for the nuclear industry and search-and-rescue operations, where visual and auditory feedback is often unavailable. Ghosh’s most cited paper, “Human Robot Interaction for Future Remote Manipulations in Industry 4.0” (2020, 29 citations), introduces advanced HRI interfaces to reduce operator strain and boost productivity in nuclear settings. He has made significant contributions to haptic communication, demonstrating through multiple studies (2013–2015) that humans can effectively follow a robot using only touch, even in smoke-filled or noisy conditions—a breakthrough for emergency response. Ghosh also explores the social dimension of robotics, designing facial expressions for robots (2017, 10 citations) and examining cultural social signals in robots used for autism spectrum condition training (2018, 7 citations). His work on “Remotely Instructed Robots” for nuclear gloveboxes (2020) further showcases his impact, integrating VR and autonomous environment modeling. With a growing citation record and a focus on human-technology symbiosis, Ghosh is shaping the future of intuitive, safe, and empathetic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Human Robot Interaction for Future Remote Manipulations in Industry 4.029 citations · 2020
- 2Following a Robot using a Haptic Interface without Visual Feedback11 citations · 2014
- 3Do You Think I Approve of That? Designing Facial Expressions for a Robot10 citations · 2017
- 4Cultural Social Signal Interplay with an Expressive Robot7 citations · 2018
- 5Towards human technology symbiosis in the haptic mode6 citations · 2013
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