Arvind U. Raghunathan
Papers
11
Total Citations
93
H-Index
5
About
Arvind U. Raghunathan is a leading researcher in robotic manipulation, focusing on the intersection of contact-rich control, optimization, and dexterous manipulation. His work addresses a fundamental challenge: enabling robots to perform reactive, generalizable manipulation tasks that involve complex frictional interactions, moving beyond open-loop strategies. Raghunathan’s major contributions include developing robust pivoting algorithms that leverage bilevel optimization to exploit frictional stability under uncertainty, with his 2022 paper on this topic garnering 20 citations. He is also the creator of PyROBOCOP, a Python-based package for robotic control and optimization that handles nonlinear differential algebraic equations and complementarity constraints from contacts, cited over 20 times across multiple versions. His research extends to safe learning of motor skills through constrained dynamic movement primitives, ensuring operational safety in novel environments. With a total of over 90 citations across his most-cited works, Raghunathan’s impact is evident in his ability to bridge theory and practice, providing tools and frameworks that empower robots to manipulate objects with the dexterity and adaptability seen in human hands.
Research Focus
Key Achievements
Top Papers
- 1Tactile Tool Manipulation28 citations · 2023
- 2Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization20 citations · 2022
- 3Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization9 citations · 2024
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