Nabanita Dash
Papers
1
Total Citations
2
H-Index
1
About
Nabanita Dash is a leading researcher at the intersection of robotics, artificial intelligence, and human-robot interaction, with a focus on enabling embodied agents to adapt to novel tasks in real time. Her most prominent contribution is the development of **AdaptBot**, a groundbreaking framework that synergizes Large Language Models (LLMs) with Knowledge Graphs and human input. This system solves a critical challenge in robotics: performing new tasks without extensive retraining. By combining LLMs’ broad world knowledge with structured knowledge refinement and human guidance, AdaptBot achieves generic-to-specific task decomposition, allowing robots to dynamically adjust their plans. This work, published in 2025, has already garnered 2 citations, signaling its early impact on the field. Dash’s research is pivotal for creating more flexible, intelligent assistants that can operate in unstructured environments, bridging the gap between static AI models and the dynamic needs of real-world human-robot collaboration. Her innovative approach positions her as a rising star in adaptive robotics and knowledge-driven AI systems.
Research Focus
Key Achievements
Top Papers
- 1