15 citations · 18 across the 4 of their papers we have counts for
7 papers
Probing the Cosmic Dark Ages with the Lunar Crater Radio Telescope
Ashish Goel, Saptarshi Bandyopadhyay, Joseph Lazio +17
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 formatio…
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas
Federico Rossi, Saptarshi Bandyopadhyay, Michael T. Wolf +1
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…
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition
Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi +2
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 signifi…
Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy
Federico Rossi, Saptarshi Bandyopadhyay, Michael Wolf +1
In this paper, we review multi-agent collective behavior algorithms in the literature and classify them according to their underlying mathematical structure. For each mathematical…
Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks
Saptarshi Bandyopadhyay, Soon-Jo Chung
The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensi…
Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents
Saptarshi Bandyopadhyay, Soon-Jo Chung, Fred Y. Hadaegh
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…
Distributed Estimation using Bayesian Consensus Filtering
Saptarshi Bandyopadhyay, Soon-Jo Chung
We present the Bayesian consensus filter (BCF) for tracking a moving target using a networked group of sensing agents and achieving consensus on the best estimate of the probabilit…