Sadanand Modak
Papers
3
Total Citations
39
H-Index
2
About
Sadanand Modak is a researcher at the intersection of robotics and artificial intelligence, with a primary focus on human-robot interaction (HRI) and the application of large language models (LLMs) to service robotics. His most impactful work, "Deploying and Evaluating LLMs to Program Service Mobile Robots" (2024), has garnered 31 citations, demonstrating the field's keen interest in his pioneering approach to using LLMs for generating robot programs from natural language. This research leverages mobility, perception, and human interaction to make service robots more accessible and intuitive to program. Modak also introduced the "Vid2Real HRI" framework, a significant methodological contribution that aligns video-based HRI study designs with real-world settings to maximize ecological validity. This work addresses a critical gap in robotics research, where lab studies often fail to capture the complexities of authentic environments. By bridging the gap between natural language programming and practical robot deployment, Modak is shaping the future of accessible, user-friendly service robots. His work is particularly notable for its practical orientation, aiming to reduce the barriers to programming autonomous systems and enhance their real-world utility.
Research Focus
Key Achievements
Top Papers
- 1Deploying and Evaluating LLMs to Program Service Mobile Robots31 citations · 2024
- 2
- 3Deploying and Evaluating LLMs to Program Service Mobile Robots2 citations · 2023