Arvind U. Raghunathan

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 52

Top Topics

Quadratic Program

Model Predictive Control

Global Optimization

Top Venues

Publications

Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. IEEE Trans. Robotics 40 (2024)
Jonas Hall, Arvind U. Raghunathan
Structural Exploitation for the Homogeneous Reformulation of Model Predictive Control Problems. ECC (2024)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry. CoRR (2024)
Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. 36 (2) (2024)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Covariance Steering for Uncertain Contact-rich Systems. CoRR (2023)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS (2023)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. CoRR (2023)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. Robotics: Science and Systems (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
Tactile Tool Manipulation. CoRR (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Covariance Steering for Uncertain Contact-rich Systems. ICRA (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization. CoRR (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-rich Systems. ACC (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
Tactile Tool Manipulation. ICRA (2023)
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
Transformer Networks for Predictive Group Elevator Control. CoRR (2022)
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. 34 (2) (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR (2022)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR (2022)
Ankush Chakrabarty, Claus Danielson, Stefano Di Cairano, Arvind U. Raghunathan
Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics. IEEE Trans. Cybern. 52 (4) (2022)
Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis
SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs. Math. Program. 196 (1) (2022)
Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra
Recursive McCormick Linearization of Multilinear Programs. CoRR (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA (2022)
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
Transformer Networks for Predictive Group Elevator Control. ECC (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC (2022)
Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. 34 (1) (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR (2022)
Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis
Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs. SIAM J. Optim. 31 (1) (2021)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR (2021)
Arvind U. Raghunathan
Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection. CDC (2021)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA (2020)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR (2020)
Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR (2019)
Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR (2019)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRR (2019)
Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori
Last-Mile Scheduling Under Uncertainty. CPAIOR (2019)
Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML (2019)
Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR (2019)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRL (2019)
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR (2019)
David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
On the Minimum Chordal Completion Polytope. Oper. Res. 67 (2) (2019)
Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS (2018)
Ankush Chakrabarty, Arvind U. Raghunathan, Stefano Di Cairano, Claus Danielson
Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning. CDC (2018)
Arvind U. Raghunathan, Lorenz T. Biegler
Direction Interior Point Method for Semidefinite Programming. SIAM J. Optim. 28 (1) (2018)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. ICAPS (2017)
Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
Transfer operator-based approach for optimal stabilization of stochastic systems. ACC (2017)
Frank E. Curtis, Arvind U. Raghunathan
Solving nearly-separable quadratic optimization problems as nonsmooth equations. Comput. Optim. Appl. 67 (2) (2017)
Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR (2017)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. CoRR (2017)
Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. CoRR (2017)
Arvind U. Raghunathan, Andrew V. Knyazev
Degeneracy in maximal clique decomposition for Semidefinite Programs. ACC (2016)
David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
On the Minimum Chordal Completion Polytope. CoRR (2016)
Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano
Decomposition via ADMM for scenario-based Model Predictive Control. ACC (2015)
Jie Liu, Mouhacine Benosman, Arvind U. Raghunathan
Consensus-based distributed optimal power flow algorithm. ISGT (2015)
David Bergman, Arvind U. Raghunathan
A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR (2015)
Arvind U. Raghunathan, Umesh Vaidya
Optimal Stabilization using Lyapunov Measures. CoRR (2014)
Arvind U. Raghunathan, Stefano Di Cairano
Infeasibility detection in alternating direction method of multipliers for convex quadratic programs. CDC (2014)
Arvind U. Raghunathan, Umesh Vaidya
Optimal Stabilization Using Lyapunov Measures. IEEE Trans. Autom. Control. 59 (5) (2014)
Arvind U. Raghunathan, Stefano Di Cairano
Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection. ACC (2014)
Lijie Bai, Arvind U. Raghunathan
Semismooth equation approach to Network Utility Maximization (NUM). ACC (2013)
Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
Global optimization of multi-period optimal power flow. ACC (2013)
Arvind U. Raghunathan
Global Optimization of Nonlinear Network Design. SIAM J. Optim. 23 (1) (2013)
Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference (2012)
Arvind U. Raghunathan, Sudha Krishnamurthy
A distributed anytime algorithm for maximizing occupant comfort. ACC (2012)
Umesh Vaidya, Baskar Ganapathysubramanian, Arvind U. Raghunathan
Transfer operator method for control in fluid flows. CDC (2009)
Amit Diwadkar, Umesh Vaidya, Arvind U. Raghunathan
Lyapunov measure and control of periodic orbit. EIT (2008)
Arvind U. Raghunathan, Umesh Vaidya
Optimal stabilization using Lyapunov measure. ACC (2008)
Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler
MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles. ACC (2006)
Arvind U. Raghunathan, Jose Ricardo Pérez-Correa, Eduardo Agosin, Lorenz T. Biegler
Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs). Ann. Oper. Res. 148 (1) (2006)
Arvind U. Raghunathan, Lorenz T. Biegler
An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs). SIAM J. Optim. 15 (3) (2005)
Arvind U. Raghunathan, María Soledad Díaz, Lorenz T. Biegler
An MPEC formulation for dynamic optimization of distillation operations. Comput. Chem. Eng. 28 (10) (2004)
Arvind U. Raghunathan, Lorenz T. Biegler
Mathematical programs with equilibrium constraints (MPECs) in process engineering. Comput. Chem. Eng. 27 (10) (2003)