Kartic Suhr
Papers
1
Total Citations
15
H-Index
1
About
Kartic Suhr is a researcher at the forefront of robotic manipulation and physical reasoning, with a focus on enabling machines to interact intelligently with everyday objects. His work bridges the gap between human intuition and robotic perception, particularly in the domain of liquid handling and deformable objects. Suhr’s most-cited paper, “Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions” (2020), introduces a method for robots to rapidly infer liquid viscosity and flow behavior through simple probing actions—much like a human tilting a bottle to gauge its contents. This work has garnered 15 citations and is foundational for adaptive pouring strategies in unstructured environments. By modeling how subtle physical interactions reveal hidden object properties, Suhr’s research advances autonomous systems in household, industrial, and healthcare settings. His contributions exemplify a growing trend toward data-efficient, physics-aware robotics, where minimal action yields maximal insight. For students and researchers, Suhr’s work offers a compelling blueprint for integrating human-inspired exploration into robotic learning pipelines.
Research Focus
Key Achievements
Top Papers
- 1Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions15 citations · 2020