Arvind U. Raghunathan

82 papers A* 9A 1B 3C 11Misc 1Journal 46Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Constructing Tight Quadratic Relaxations for Global Optimization: I. Outer-Approximating Twice-Differentiable Convex Functions. J. Glob. Optim. William R. Strahl, Arvind U. Raghunathan, Nikolaos V. Sahinidis, Chrysanthos E. Gounaris
2025	J	`jnl`	Constructing tight quadratic relaxations for global optimization: II. underestimating difference-of-convex (D.C.) functions. J. Glob. Optim. William R. Strahl, Arvind U. Raghunathan, Nikolaos V. Sahinidis, Chrysanthos E. Gounaris
2025	A*	`conf`	Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation Using Tight Convex Relaxations. ICRA Yuki Shirai, Arvind U. Raghunathan, Devesh K. Jha
2025	J	`jnl`	Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations. CoRR Yuki Shirai, Arvind U. Raghunathan, Devesh K. Jha
2025	J	`jnl`	PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. IEEE Trans Autom. Sci. Eng. Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2025	J	`jnl`	Recursive McCormick Linearization of Multilinear Programs. INFORMS J. Comput. Carlos Cardonha, Arvind U. Raghunathan, David Bergman, Carlos J. Nohra
2025	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Contact-Rich Manipulation With High-Fidelity Geometry. IEEE Trans. Robotics Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2025	J	`jnl`	Stability Analysis of Discrete-Time Linear Complementarity Systems. SIAM J. Optim. Arvind U. Raghunathan, Jeffrey T. Linderoth
2024	J	`jnl`	Coach Reservation for Groups Requests. CoRR Carlos Henrique Cardonha, Arvind U. Raghunathan
2024	C	`conf`	Data-Driven Monitoring with Mobile Sensors and Charging Stations Using Multi-Arm Bandits and Coordinated Motion Planners. ACC Siddharth Nayak, Marcus Greiff, Arvind U. Raghunathan, Stefano Di Cairano, Abraham P. Vinod
2024	J	`jnl`	Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. IEEE Trans. Robotics Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2024	J	`jnl`	Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2024	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry. CoRR Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2024	—	`conf`	Structural Exploitation for the Homogeneous Reformulation of Model Predictive Control Problems. ECC Jonas Hall, Arvind U. Raghunathan
2023	C	`conf`	Chance-Constrained Optimization in Contact-rich Systems. ACC Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2023	A	`conf`	Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2023	A*	`conf`	Covariance Steering for Uncertain Contact-rich Systems. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	J	`jnl`	Covariance Steering for Uncertain Contact-rich Systems. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	J	`jnl`	Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	—	`conf`	Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. Robotics: Science and Systems Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2023	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. CoRR Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2023	A*	`conf`	Tactile Tool Manipulation. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
2023	J	`jnl`	Tactile Tool Manipulation. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
2022	J	`jnl`	Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics. IEEE Trans. Cybern. Ankush Chakrabarty, Claus Danielson, Stefano Di Cairano, Arvind U. Raghunathan
2022	J	`jnl`	Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2022	—	`conf`	Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	J	`jnl`	JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
2022	J	`jnl`	PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	A*	`conf`	PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	J	`jnl`	Recursive McCormick Linearization of Multilinear Programs. CoRR Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra
2022	A*	`conf`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs. Math. Program. Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis
2022	J	`jnl`	Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2022	—	`conf`	Transformer Networks for Predictive Group Elevator Control. ECC Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2022	J	`jnl`	Transformer Networks for Predictive Group Elevator Control. CoRR Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2021	—	`conf`	Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection. CDC Arvind U. Raghunathan
2021	J	`jnl`	PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2021	J	`jnl`	Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs. SIAM J. Optim. Carlos J. Nohra, Arvind U. Raghunathan, Nikolaos V. Sahinidis
2020	A*	`conf`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2019	A*	`conf`	Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
2019	J	`jnl`	Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
2019	B	`conf`	Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
2019	J	`jnl`	JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
2019	B	`conf`	Last-Mile Scheduling Under Uncertainty. CPAIOR Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori
2019	J	`jnl`	On the Minimum Chordal Completion Polytope. Oper. Res. David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
2019	Misc	`conf`	Quasi-Newton Trust Region Policy Optimization. CoRL Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	J	`jnl`	Quasi-Newton Trust Region Policy Optimization. CoRR Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	J	`jnl`	Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2018	—	`conf`	Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning. CDC Ankush Chakrabarty, Arvind U. Raghunathan, Stefano Di Cairano, Claus Danielson
2018	J	`jnl`	LDL SIAM J. Optim. Arvind U. Raghunathan, Lorenz T. Biegler
2018	A*	`conf`	The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2017	J	`jnl`	Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis
2017	J	`jnl`	Solving nearly-separable quadratic optimization problems as nonsmooth equations. Comput. Optim. Appl. Frank E. Curtis, Arvind U. Raghunathan
2017	A*	`conf`	Submodular Function Maximization for Group Elevator Scheduling. ICAPS Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
2017	J	`jnl`	Submodular Function Maximization for Group Elevator Scheduling. CoRR Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
2017	J	`jnl`	Transfer Operator Based Approach for Optimal Stabilization of Stochastic System. CoRR Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
2017	C	`conf`	Transfer operator-based approach for optimal stabilization of stochastic systems. ACC Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya
2016	C	`conf`	Degeneracy in maximal clique decomposition for Semidefinite Programs. ACC Arvind U. Raghunathan, Andrew V. Knyazev
2016	J	`jnl`	On the Minimum Chordal Completion Polytope. CoRR David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
2015	B	`conf`	A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR David Bergman, Arvind U. Raghunathan
2015	—	`conf`	Consensus-based distributed optimal power flow algorithm. ISGT Jie Liu, Mouhacine Benosman, Arvind U. Raghunathan
2015	C	`conf`	Decomposition via ADMM for scenario-based Model Predictive Control. ACC Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano
2014	C	`conf`	Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection. ACC Arvind U. Raghunathan, Stefano Di Cairano
2014	—	`conf`	Infeasibility detection in alternating direction method of multipliers for convex quadratic programs. CDC Arvind U. Raghunathan, Stefano Di Cairano
2014	J	`jnl`	Optimal Stabilization Using Lyapunov Measures. IEEE Trans. Autom. Control. Arvind U. Raghunathan, Umesh Vaidya
2014	J	`jnl`	Optimal Stabilization using Lyapunov Measures. CoRR Arvind U. Raghunathan, Umesh Vaidya
2013	J	`jnl`	Global Optimization of Nonlinear Network Design. SIAM J. Optim. Arvind U. Raghunathan
2013	C	`conf`	Global optimization of multi-period optimal power flow. ACC Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
2013	C	`conf`	Semismooth equation approach to Network Utility Maximization (NUM). ACC Lijie Bai, Arvind U. Raghunathan
2012	C	`conf`	A distributed anytime algorithm for maximizing occupant comfort. ACC Arvind U. Raghunathan, Sudha Krishnamurthy
2012	—	`conf`	Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
2009	—	`conf`	Transfer operator method for control in fluid flows. CDC Umesh Vaidya, Baskar Ganapathysubramanian, Arvind U. Raghunathan
2008	—	`conf`	Lyapunov measure and control of periodic orbit. EIT Amit Diwadkar, Umesh Vaidya, Arvind U. Raghunathan
2008	C	`conf`	Optimal stabilization using Lyapunov measure. ACC Arvind U. Raghunathan, Umesh Vaidya
2006	C	`conf`	MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles. ACC Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler
2006	J	`jnl`	Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs). Ann. Oper. Res. Arvind U. Raghunathan, José Ricardo Pérez-Correa, Eduardo Agosin, Lorenz T. Biegler
2005	J	`jnl`	An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs). SIAM J. Optim. Arvind U. Raghunathan, Lorenz T. Biegler
2004	J	`jnl`	An MPEC formulation for dynamic optimization of distillation operations. Comput. Chem. Eng. Arvind U. Raghunathan, María Soledad Díaz, Lorenz T. Biegler
2003	J	`jnl`	Mathematical programs with equilibrium constraints (MPECs) in process engineering. Comput. Chem. Eng. Arvind U. Raghunathan, Lorenz T. Biegler