Ravi Tejwani
Papers
7
Total Citations
52
H-Index
5
About
Ravi Tejwani is a pioneering researcher at the intersection of human-robot interaction, artificial identity, and social robotics. His work fundamentally reimagines how robots can be designed to engage with humans on a deeply social and emotional level. Tejwani’s most influential contribution is the concept of "Robo-Identity," which he introduced and developed across multiple highly cited papers (over 28 citations combined). This framework explores how robots can be imbued with coherent personalities, backstories, and emotional expressions—particularly through speech and voice—to make them more relatable and trustworthy interaction partners. He has also made significant strides in telepresence robotics, developing an Avatar Robot System overlaid with a 3D human model of a remote operator to enhance realism and physical presence, directly addressing key barriers to trust and adoption. Furthermore, Tejwani has formalized social interactions as Recursive MDPs, providing a rigorous computational framework for robots to reason about complex social dynamics. His recent work on shared force-language embeddings for natural human-robot communication demonstrates his continued innovation in creating more intuitive, multimodal interactions. Through these contributions, Tejwani is shaping a future where robots are not just tools, but socially aware companions.
Research Focus
Key Achievements
Top Papers
- 1Robo-Identity17 citations · 2021
- 2
- 3An Avatar Robot Overlaid with the 3D Human Model of a Remote Operator7 citations · 2023
- 4Social Interactions as Recursive MDPs7 citations · 2021
- 5Incorporating Rich Social Interactions Into MDPs6 citations · 2022
- 6
- 7An Avatar Robot Overlaid with the 3D Human Model of a Remote Operator2 citations · 2023