Pratyusha Sharma

Massachusetts Institute of Technology, Moscow Institute of Thermal Technology

Papers

Total Citations

446

H-Index

About

Pratyusha Sharma is a leading researcher at the intersection of robotics, human-robot interaction, and embodied intelligence. Her work focuses on enabling more intuitive and effective communication between humans and machines, particularly through tactile sensing and natural language. Sharma’s most cited work, “Learning human–environment interactions using conformal tactile textiles” (2021), has garnered over 375 citations, introducing a novel approach to capturing physical interactions through smart fabrics. This innovation allows robots to better understand and respond to human-environment dynamics. She is also widely recognized for her contributions to “Correcting Robot Plans with Natural Language Feedback” (2022), which addresses a critical challenge in robotics: when human-designed specifications are ambiguous or incomplete. By enabling robots to interpret and act on real-time verbal corrections, Sharma’s work bridges the gap between high-level human intent and low-level robot execution. Her research has significant implications for collaborative robotics, assistive technologies, and autonomous systems. Through her innovative use of tactile textiles and language-based feedback, Sharma is shaping a future where robots can learn from and adapt to human input more naturally and safely.