Dipendra Misra

Papers

Total Citations

363

H-Index

About

Dipendra Misra is a leading researcher at the intersection of robotics, natural language processing, and artificial intelligence. His work focuses on enabling robots to understand and execute complex human instructions by grounding natural language in real-world contexts. Misra’s major contributions center on context-sensitive language grounding, where robots must interpret commands based on their environment, such as the location and state of objects. His seminal paper, “Tell Me Dave: Context-sensitive grounding of natural language to manipulation instructions” (2015), has garnered 194 citations and demonstrates how robots can perform mobile manipulation tasks by integrating linguistic and perceptual cues. Misra also co-developed RoboBrain (2014, 110 citations), a large-scale knowledge engine that allows robots to learn and share knowledge across multiple modalities, including symbols, language, and haptic senses. This work addresses the challenge of building a unified knowledge base for diverse robotic tasks. With over 360 citations across his top papers, Misra’s research has significantly advanced the field of human-robot interaction, making him a notable figure in AI and robotics. His achievements highlight the potential for robots to seamlessly collaborate with humans in dynamic environments.