Suman Chakravorty

Orcid: 0000-0003-3074-3406

According to our database1, Suman Chakravorty authored at least 97 papers between 2005 and 2024.

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Bibliography

2024
An Optimal Solution to Infinite Horizon Nonlinear Control Problems: Part II.
CoRR, 2024

On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics.
CoRR, 2024

Optimal Control of Material Micro-Structures.
Proceedings of the American Control Conference, 2024

2023
On Data-Driven Surrogate Modeling for Nonlinear Optimal Control.
CoRR, 2023

Learning to Control Under Uncertainty with Data-Based Iterative Linear Quadratic Regulator.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

An Optimal Solution to Infinite Horizon Nonlinear Control Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations.
Proceedings of the American Control Conference, 2023

The Information-State Based Approach to Linear System Identification.
Proceedings of the American Control Conference, 2023

2022
Decoupled Data-Based Approach for Learning to Control Nonlinear Dynamical Systems.
IEEE Trans. Autom. Control., 2022

Geometric Solution to Probabilistic Admissible Region Based Track Initialization.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

On the Feedback Law in Stochastic Optimal Nonlinear Control.
Proceedings of the American Control Conference, 2022

2021
Unifying Consensus and Covariance Intersection for Efficient Distributed State Estimation Over Unreliable Networks.
IEEE Trans. Robotics, 2021

Structure Aided Odometry (SAO) : A Novel Analytical Odometry Technique Based on Semi-Absolute Localization for Precision-Warehouse Robotic Assistance in Environments with Low Feature Variation.
J. Intell. Robotic Syst., 2021

Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems.
CoRR, 2021

Experiments with Tractable Feedback in Robotic Planning Under Uncertainty: Insights over a Wide Range of Noise Regimes.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Data-based Control of Partially-Observed Robotic Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

On the Search for Feedback in Reinforcement Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Model and Data Based Approaches to the Control of Tensegrity Robots.
IEEE Robotics Autom. Lett., 2020

A randomized balanced proper orthogonal decomposition technique.
J. Comput. Appl. Math., 2020

On the Convergence of Reinforcement Learning.
CoRR, 2020

Near Optimality and Tractability in Stochastic Nonlinear Control.
CoRR, 2020

On the Search for Feedback in Reinforcement Learning.
CoRR, 2020

D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR.
CoRR, 2020

A Belief Space Perspective of RFS based Multi-Target Tracking and its Relationship to MHT.
CoRR, 2020

Efficient recursive distributed state estimation of hidden Markov models over unreliable networks.
Auton. Robots, 2020

2019
T-PFC: A Trajectory-Optimized Perturbation Feedback Control Approach.
IEEE Robotics Autom. Lett., 2019

Robust Pose-Graph SLAM Using Absolute Orientation Sensing.
IEEE Robotics Autom. Lett., 2019

Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes.
CoRR, 2019

Particle Gaussian Mixture Filters: Application and Performance Evaluation.
Proceedings of the 22th International Conference on Information Fusion, 2019

Sensor Scheduling Under Action Dependent Decision-Making Epochs.
Proceedings of the 22th International Conference on Information Fusion, 2019

A Decoupled Data Based Control (D2C) Approach to Generalized Motion Planning Problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
SLAP: Simultaneous Localization and Planning Under Uncertainty via Dynamic Replanning in Belief Space.
IEEE Trans. Robotics, 2018

A Decoupled Data Based Approach to Stochastic Optimal Control Problems.
CoRR, 2018

Particle Gaussian mixture filters-II.
Autom., 2018

Particle Gaussian mixture filters-I.
Autom., 2018

2017
A Separation-Based Design to Data-Driven Control for Large-Scale Partially Observed Systems.
CoRR, 2017

Near-Optimal Belief Space Planning via T-LQG.
CoRR, 2017

A Near-Optimal Separation Principle for Nonlinear Stochastic Systems Arising in Robotic Path Planning and Control.
CoRR, 2017

Efficient distributed state estimation of hidden Markov Models over unreliable networks.
Proceedings of the 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2017

MT-LQG: Multi-agent planning in belief space via trajectory-optimized LQG.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

T-LQG: Closed-loop belief space planning via trajectory-optimized LQG.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

RFM-SLAM: Exploiting relative feature measurements to separate orientation and position estimation in SLAM.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Stochastic feedback control of systems with unknown nonlinear dynamics.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On the use of the observability gramian for partially observed robotic path planning problems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A near-optimal decoupling principle for nonlinear stochastic systems arising in robotic path planning and control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Information Space Receding Horizon Control for Multisensor Tasking Problems.
IEEE Trans. Cybern., 2016

A Hybrid Bayesian-Frequentist Approach to SLAM.
J. Intell. Robotic Syst., 2016

Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection.
CoRR, 2016

Belief Space Planning Simplified: Trajectory-Optimized LQG (T-LQG) (Extended Report).
CoRR, 2016

Non-Gaussian SLAP: Simultaneous Localization and Planning Under Non-Gaussian Uncertainty in Static and Dynamic Environments.
CoRR, 2016

Multi-Object Tracking with Multiple Birth, Death, and Spawn Scenarios Using A Randomized Hypothesis Generation Technique (R-FISST).
CoRR, 2016

A stochastic unknown input realization and filtering technique.
Autom., 2016

Motion Planning for Active Data Association and Localization in Non-Gaussian Belief Spaces.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Unifying consensus and covariance intersection for decentralized state estimation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Feedback motion planning under non-Gaussian uncertainty and non-convex state constraints.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Particle Gaussian Mixture (PGM) filters.
Proceedings of the 19th International Conference on Information Fusion, 2016

Multi-object tracking with multiple birth, death, and spawn scenarios using a randomized hypothesis generation technique (RFISST).
Proceedings of the 19th International Conference on Information Fusion, 2016

A GPU-based implementation of a sensor tasking methodology.
Proceedings of the 19th International Conference on Information Fusion, 2016

A computationally optimal randomized proper orthogonal decomposition technique.
Proceedings of the 2016 American Control Conference, 2016

2015
Simultaneous Localization and Planning for Physical Mobile Robots via Enabling Dynamic Replanning in Belief Space.
CoRR, 2015

Motion Planning in Non-Gaussian Belief Spaces for Mobile Robots.
CoRR, 2015

Motion Planning in Non-Gaussian Belief Spaces (M3P): The Case of a Kidnapped Robot.
CoRR, 2015

A randomized sampling based approach to multi-object tracking.
Proceedings of the 18th International Conference on Information Fusion, 2015

An autoregressive (AR) model based stochastic unknown input realization and filtering technique.
Proceedings of the American Control Conference, 2015

A randomized proper orthogonal decomposition technique.
Proceedings of the American Control Conference, 2015

2014
FIRM: Sampling-based feedback motion-planning under motion uncertainty and imperfect measurements.
Int. J. Robotics Res., 2014

Robust online belief space planning in changing environments: Application to physical mobile robots.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Information space sensor tasking for Space Situational Awareness.
Proceedings of the American Control Conference, 2014

2013
Information Space Receding Horizon Control.
IEEE Trans. Cybern., 2013

Graph-based stochastic control with constraints: A unified approach with perfect and imperfect measurements.
Proceedings of the American Control Conference, 2013

2012
Multi-agent Generalized Probabilistic RoadMaps: MAGPRM.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Sampling-based nonholonomic motion planning in belief space via Dynamic Feedback Linearization-based FIRM.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

On the probabilistic completeness of the sampling-based feedback motion planners in belief space.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A randomly perturbed iterative proper orthogonal decomposition (RI-POD) technique for filtering distributed parameter systems.
Proceedings of the American Control Conference, 2012

Information space receding horizon control for multi-agent systems.
Proceedings of the American Control Conference, 2012

2011
Generalized Sampling-Based Motion Planners.
IEEE Trans. Syst. Man Cybern. Part B, 2011

A frequentist approach to mapping under uncertainty.
Autom., 2011

FIRM: Feedback controller-based Information-state Roadmap - A framework for motion planning under uncertainty -.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Information space receding horizon control.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Adaptive sampling for generalized sampling based motion planners.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A nonlinear filter based on Fokker Planck equation and MCMC measurement updates.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A nonlinear filter based on Fokker-Planck equation.
Proceedings of the American Control Conference, 2010

2009
Robust Air-Traffic Control Using Ground-Delays and Rerouting of Flights.
J. Aerosp. Comput. Inf. Commun., 2009

Hybrid Simultaneous Localization and Mapping in Dense Environments.
Proceedings of the IEEE International Conference on Systems, 2009

Generalized Sampling based Motion Planners with Application to Nonholonomic Systems.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Simultaneous planning localization and mapping: A hybrid Bayesian/ frequentist approach.
Proceedings of the American Control Conference, 2008

2007
Motion planning in uncertain environments with vision-like sensors.
Autom., 2007

Hierarchical motion planning under uncertainty.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A semianalytic meshless approach to the Fokker-Planck equation with application to hybrid systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Two-stage controller algorithm for Multi-spacecraft Interferometric Imaging Maneuvers for Spiral Coverage with time varying target-system relative position.
Proceedings of the American Control Conference, 2007

A Homotopic Approach to Domain Determination and Solution Refinement for the Fokker-Planck Equation.
Proceedings of the American Control Conference, 2007

2006
Near-Minimum Fuel Trajectories for Multi Spacecraft Interferometric Imaging Systems in Near-Earth Orbit.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Motion Planning in an Uncertain Environment: Application to an Unmanned Helicopter.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A quasi-Gaussian Kalman filter.
Proceedings of the American Control Conference, 2006

A homotopic Galerkin approach to the solution of the Fokker-Planck-Kolmogorov equation.
Proceedings of the American Control Conference, 2006

2005
A Methodology for Intelligent Path Planning.
Proceedings of the Intelligent Control, 2005


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