Saptarshi Bandyopadhyay

In situ, Surface-deployed Distributed Instruments for Planetary Science: Scientific Opportunities and Technology Feasibility Open

Federico Rossi, Robert C. Anderson, Saptarshi Bandyopadhyay, Erik J. Brandon, Ashish Goel , et al. · 2025

In this paper, we assess the scientific promise and technology feasibility of in situ distributed instruments for planetary surface and atmospheric science. A distributed instrument is an instrument designed to collect spatially and tempor…

Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization Open

Kazuya Echigo, Abhishek Cauligi, Saptarshi Bandyopadhyay, Dan Scharf, Gregory Lantoine , et al. · 2024

This paper presents the development and evaluation of an optimization-based autonomous trajectory planning algorithm for the asteroid reconnaissance phase of a deep-space exploration mission. The reconnaissance phase is a low-altitude flyb…

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator Open

Manaswin Oddiraju, Zaki Hasnain, Saptarshi Bandyopadhyay, Eric Sunada, Souma Chowdhury · 2024

Modeling thermal states for complex space missions, such as the surface exploration of airless bodies, requires high computation, whether used in ground-based analysis for spacecraft design or during onboard reasoning for autonomous operat…

Distributed Instruments for Planetary Surface Science: Scientific Opportunities and Technology Feasibility Open

Federico Rossi, Robert C. Anderson, Saptarshi Bandyopadhyay, Erik J. Brandon, Ashish Goel , et al. · 2024

In this paper, we assess the scientific promise and technology feasibility of distributed instruments for planetary science. A distributed instrument is an instrument designed to collect spatially and temporally correlated data from multip…

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators Open

Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay, David S. Bayard, Kar‐Ming Cheung , et al. · 2024

To extend the limited scope of autonomy used in prior missions for operation in distant and complex environments, there is a need to further develop and mature autonomy that jointly reasons over multiple subsystems, which we term system-le…

Autonomica: Ontological Modeling and Analysis of Autonomous Behavior Open

Maged Elaasar, Nicolas Rouquette, Klaus Havelund, Martin S. Feather, Saptarshi Bandyopadhyay , et al. · 2023

Model‐based system autonomy is a complex integration of planning from high‐level goals to low‐level command sequences whose execution controls a system. The need for autonomy has accelerated in recent years to enable complex missions in au…

 DROID: A mission concept to accompany and characterize Apophis through its 2029 Earth closest approach Open

C. A. Raymond, Rashied Amini, Philippe C. Adell, Rodney Anderson, Saptarshi Bandyopadhyay , et al. · 2022

<p><strong>Introduction:</strong>  The close approach of asteroid (99942) Apophis on April 13, 2029 presents a unique opportunity to achieve breakthrough science and strengthen planetary defense goals. &…

Probing the Cosmic Dark Ages with the Lunar Crater Radio Telescope Open

Ashish Goel, Saptarshi Bandyopadhyay, Joseph Lazio, P. F. Goldsmith, David Bacon , et al. · 2022

The Cosmic Dark Ages represent the period in the early evolution of the Universe, starting immediately after the decoupling of CMB photons from matter, and ending with the formation of the first stars and galaxies. The HI signal from the n…

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition Open

Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael Wolf, Marco Pavone · 2021

Multi-robot systems are uniquely well-suited to performing complex tasks such as patrolling and tracking, information gathering, and pick-up and delivery problems, offering significantly higher performance than single-robot systems. A fund…

Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas Open

Federico Rossi, Saptarshi Bandyopadhyay, Michael Wolf, Marco Pavone · 2021

The goal of this paper is to provide a survey and application-focused atlas of collective behavior coordination algorithms for multi-agent systems. We survey the general family of collective behavior algorithms for multi-agent systems and …

Distributed Instruments for Planetary Surface Science Open

Ashish Goel, Robert C. Anderson, Saptarshi Bandyopadhyay, Erik J. Brandon, Joshua Vander Hook , et al. · 2021

A distributed instrument is an instrument designed to collect spatially and temporally correlated data from many networked, geographically distributed point sensors.A distributed instrument is more than the sum of its sensors: by strategic…

Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks Open

Saptarshi Bandyopadhyay, Soon‐Jo Chung · 2018

Review of Multi-Agent Algorithms for Collective Behavior: a Structural\n Taxonomy Open

Federico Rossi, Saptarshi Bandyopadhyay, Michael S. Wolf, Marco Pavone · 2018

In this paper, we review multi-agent collective behavior algorithms in the\nliterature and classify them according to their underlying mathematical\nstructure. For each mathematical technique, we identify the multi-agent\ncoordination task…

Robotics and AI-Enabled On-Orbit Operations With Future Generation of Small Satellites Open

Angadh Nanjangud, Peter C. Blacker, Saptarshi Bandyopadhyay, Yang Gao · 2018

The low-cost and short-lead time of small satellites has led to their use in science-based missions, earth observation, and interplanetary missions. Today, they are also key instruments in orchestrating technological demonstrations for On-…

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy Open

Federico Rossi, Saptarshi Bandyopadhyay, Michael Wolf, Marco Pavone · 2018

Distributed Bayesian Filtering using Logarithmic Opinion Pool for\n Dynamic Sensor Networks Open

Saptarshi Bandyopadhyay, Soon‐Jo Chung · 2017

The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented\nfor the problem of tracking a target dynamic model using a time-varying network\nof heterogeneous sensing agents. In the DBF algorithm, the sensing agents\ncomb…

Distributed Fast Motion Planning for Spacecraft Swarms in Cluttered Environments using Spherical Expansions and Sequence of Convex Optimization Problems Open

Saptarshi Bandyopadhyay, Francesca Baldini, Rebecca Foust, Soon‐Jo Chung, Amir Rahmani , et al. · 2017

This paper presents a novel guidance algorithm for spacecraft swarms in an environment cluttered with many obstacles like a debris field or the asteroid belt. The objective of this algorithm is to reconfigure the swarm to a desired formati…

Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents Open

Saptarshi Bandyopadhyay, Soon‐Jo Chung, Fred Y. Hadaegh · 2017

We present a novel method for guiding a large-scale swarm of autonomous agents into a desired formation shape in a distributed and scalable manner. Our Probabilistic Swarm Guidance using Inhomogeneous Markov Chains (PSG-IMC) algorithm adop…

Novel probabilistic and distributed algorithms for guidance, control, and nonlinear estimation of large-scale multi-agent systems Open

Saptarshi Bandyopadhyay · 2016

Multi-agent systems are widely used for constructing a desired formation shape, exploring an area, surveillance, coverage, and other cooperative tasks. This dissertation introduces novel algorithms in the three main areas of shape formatio…

Feedback-Based Inhomogeneous Markov Chain Approach To Probabilistic Swarm Guidance Open

Saptarshi Bandyopadhyay, Soon‐Jo Chung, Fred Y. Hadaegh · 2015

This paper presents a novel and generic distributed swarm guidance algorithm using inhomogeneous \nMarkov chains that guarantees superior performance over existing homogeneous \nMarkov chain based algorithms, when the feedback of the curre…

Nonlinear Attitude Control of Spacecraft with a captured asteroid Open

Saptarshi Bandyopadhyay, Soon‐Jo Chung · 2015

One of the main control challenges of National Aeronautics and Space Administration’s \nproposed Asteroid Redirect Mission (ARM) is to stabilize and control the attitude of the \nspacecraft-asteroid combination in the presence of large unc…

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