Ravi Kiran Sarvadevabhatla
Honda (United States), Indian Institute of Science Bangalore, Honda (Japan)
Papers
10
Total Citations
218
H-Index
7
About
Ravi Kiran Sarvadevabhatla is a leading researcher in human-robot interaction (HRI) and sketch-based visual recognition, with a career spanning foundational work in both social robotics and deep learning. His early research, including his highly cited 2009 study "Learning together: ASIMO developing an interactive learning partnership with children" (74 citations), explored how humanoid robots can engage children in collaborative learning, identifying key features that elicit social responses. He further advanced affective HRI through multimodal approaches, examining how robot attention and interaction styles influence children's emotional behavior. Sarvadevabhatla also contributed to robot architecture with the Cognitive Map system, which streamlined integration of legacy software. In a notable pivot to computer vision, his 2016 work "Enabling My Robot To Play Pictionary" (47 citations) pioneered the use of recurrent neural networks for sketch recognition, exploiting the sequential nature of drawing—a breakthrough that bridged robotics and deep learning. His proxemics studies, such as "Captain may I?" (16 citations), investigated how age and prompting affect human-robot physical distance. With over 200 total citations, Sarvadevabhatla's work remains influential in designing intuitive, child-friendly robots and advancing sketch-based AI.
Research Focus
Key Achievements
Top Papers
- 1
- 2Enabling My Robot To Play Pictionary47 citations · 2016
- 3
- 4Cognitive map architecture18 citations · 2009
- 5Captain may i?16 citations · 2012
- 6
- 7The memory game: Creating a human-robot interactive scenario for ASIMO9 citations · 2008
- 8Extended duration human-robot interaction: Tools and analysis5 citations · 2010
- 9
- 10Panoramic attention for humanoid robots3 citations · 2009