Arvind U. Raghunathan

According to our database, Arvind U. Raghunathan authored at least 54 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan

CoRR, 2023

Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning.

Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.

Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski

IROS, 2023

Tactile Tool Manipulation.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Covariance Steering for Uncertain Contact-rich Systems.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Chance-Constrained Optimization in Contact-rich Systems.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres

Proceedings of the American Control Conference, 2023

2022

Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics.

Ankush Chakrabarty, Claus Danielson, Stefano Di Cairano, Arvind U. Raghunathan

IEEE Trans. Cybern., 2022

SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs.

Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis

Math. Program., 2022

Template-Based Minor Embedding for Adiabatic Quantum Optimization.

Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman

INFORMS J. Comput., 2022

JANOS: An Integrated Predictive and Prescriptive Modeling Framework.

David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan

INFORMS J. Comput., 2022

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills.

Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski

CoRR, 2022

Recursive McCormick Linearization of Multilinear Programs.

Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra

CoRR, 2022

Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres

CoRR, 2022

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization.

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation.

Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Transformer Networks for Predictive Group Elevator Control.

Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski

Proceedings of the European Control Conference, 2022

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs.

Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs.

Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis

SIAM J. Optim., 2021

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

Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres

CoRR, 2021

Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection.

Arvind U. Raghunathan

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning.

Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

On the Minimum Chordal Completion Polytope.

David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan

Oper. Res., 2019

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function.

Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha

Proceedings of the 36th International Conference on Machine Learning, 2019

Last-Mile Scheduling Under Uncertainty.

Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Heat Exchanger Circuitry Design by Decision Diagrams.

Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Quasi-Newton Trust Region Policy Optimization.

Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

LDL^T Direction Interior Point Method for Semidefinite Programming.

Arvind U. Raghunathan, Lorenz T. Biegler

SIAM J. Optim., 2018

Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning.

Ankush Chakrabarty, Arvind U. Raghunathan, Stefano Di Cairano, Claus Danielson

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

The Integrated Last-Mile Transportation Problem (ILMTP).

Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017

Optimization of circuitry arrangements for heat exchangers using derivative-free optimization.

Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis

CoRR, 2017

Transfer Operator Based Approach for Optimal Stabilization of Stochastic System.

Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya

CoRR, 2017

Solving nearly-separable quadratic optimization problems as nonsmooth equations.

Frank E. Curtis, Arvind U. Raghunathan

Comput. Optim. Appl., 2017

Transfer operator-based approach for optimal stabilization of stochastic systems.

Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya

Proceedings of the 2017 American Control Conference, 2017

Submodular Function Maximization for Group Elevator Scheduling.

Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Degeneracy in maximal clique decomposition for Semidefinite Programs.

Arvind U. Raghunathan, Andrew V. Knyazev

Proceedings of the 2016 American Control Conference, 2016

2015

Consensus-based distributed optimal power flow algorithm.

Jie Liu, Mouhacine Benosman, Arvind U. Raghunathan

Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

A Benders Approach to the Minimum Chordal Completion Problem.

David Bergman, Arvind U. Raghunathan

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

Decomposition via ADMM for scenario-based Model Predictive Control.

Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano

Proceedings of the American Control Conference, 2015

2014

Optimal Stabilization Using Lyapunov Measures.

Arvind U. Raghunathan, Umesh Vaidya

IEEE Trans. Autom. Control., 2014

Infeasibility detection in alternating direction method of multipliers for convex quadratic programs.

Arvind U. Raghunathan, Stefano Di Cairano

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection.

Arvind U. Raghunathan, Stefano Di Cairano

Proceedings of the American Control Conference, 2014

2013

Global Optimization of Nonlinear Network Design.

Arvind U. Raghunathan

SIAM J. Optim., 2013

Global optimization of multi-period optimal power flow.

Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler

Proceedings of the American Control Conference, 2013

Semismooth equation approach to Network Utility Maximization (NUM).

Lijie Bai, Arvind U. Raghunathan

Proceedings of the American Control Conference, 2013

2012

A distributed anytime algorithm for maximizing occupant comfort.

Arvind U. Raghunathan, Sudha Krishnamurthy

Proceedings of the American Control Conference, 2012

Global optimization of Optimal Power Flow using a branch & bound algorithm.

Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2009

Transfer operator method for control in fluid flows.

Umesh Vaidya, Baskar Ganapathysubramanian, Arvind U. Raghunathan

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Lyapunov measure and control of periodic orbit.

Amit Diwadkar, Umesh Vaidya, Arvind U. Raghunathan

Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008

Optimal stabilization using Lyapunov measure.

Arvind U. Raghunathan, Umesh Vaidya

Proceedings of the American Control Conference, 2008

2006

Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs).

Arvind U. Raghunathan, Jose Ricardo Pérez-Correa, Eduardo Agosin, Lorenz T. Biegler

Ann. Oper. Res., 2006

MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles.

Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler

Proceedings of the American Control Conference, 2006

2005

An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs).

Arvind U. Raghunathan, Lorenz T. Biegler

SIAM J. Optim., 2005

2004

An MPEC formulation for dynamic optimization of distillation operations.

Arvind U. Raghunathan, María Soledad Díaz, Lorenz T. Biegler

Comput. Chem. Eng., 2004

2003

Mathematical programs with equilibrium constraints (MPECs) in process engineering.

Arvind U. Raghunathan, Lorenz T. Biegler

Comput. Chem. Eng., 2003