Shweta Krishnan
Papers
1
Total Citations
25
H-Index
1
About
Shweta Krishnan is a leading researcher in robotic perception and manipulation, with a focus on visuo-haptic learning for autonomous systems. Her work bridges the gap between how robots see and how they physically interact with their environment, enabling more adaptive and intelligent behavior in real-world tasks. Her most cited paper, "Proton: A visuo-haptic data acquisition system for robotic learning of surface properties" (2016, 25 citations), introduces a pioneering framework that allows robots to learn the association between visual appearance and physical surface properties—such as texture, friction, and compliance—through a curated database of matched sensory data. This contribution is foundational for robots that must autonomously navigate diverse terrains or manipulate unfamiliar objects. Krishnan’s research has significant implications for fields ranging from assistive robotics to industrial automation, where efficient, data-driven interaction with the physical world is critical. Her work exemplifies a systems-level approach to embodied intelligence, combining hardware design, data acquisition, and machine learning to push the boundaries of robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1