Search Results for author: Arvind U. Raghunathan

Found 7 papers, 0 papers with code

Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization

no code implementations15 Mar 2023 Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan

This requirement makes manipulation extremely challenging as a robot has to reason about complex frictional interactions with uncertainty in physical properties of the object and the environment.

Bilevel Optimization Friction

PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance

no code implementations6 Jun 2021 Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres

PYROBOCOP is a lightweight Python-based package for control and optimization of robotic systems described by nonlinear Differential Algebraic Equations (DAEs).

Collision Avoidance

Stability Analysis of Discrete-Time Linear Complementarity Systems

no code implementations24 Dec 2020 Arvind U. Raghunathan, Jeffrey T. Linderoth

To the best of our knowledge, our algorithm is the first exact approach for stability verification of DLCS.

Optimization and Control

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function

no code implementations15 May 2019 Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha

To this end, we introduce the Gradient-based Nikaido-Isoda (GNI) function which serves: (i) as a merit function, vanishing only at the first-order stationary points of each player's optimization problem, and (ii) provides error bounds to a stationary Nash point.

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