Souma Chowdhury

Orcid: 0000-0002-1500-2696

According to our database1, Souma Chowdhury authored at least 53 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Auto-Differentiable Transfer Mapping Architecture for Physics-Infused Learning of Acoustic Field.
IEEE Trans. Artif. Intell., March, 2024

Optimizing Design and Control of Running Robots Abstracted as Torque Driven Spring Loaded Inverted Pendulum (TD-SLIP).
CoRR, 2024

A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility.
CoRR, 2024

An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy.
CoRR, 2024

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator.
CoRR, 2024

Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach.
CoRR, 2024

Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Adaptive Neuroevolution With Genetic Operator Control and Two-Way Complexity Variation.
IEEE Trans. Artif. Intell., December, 2023

CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems.
CoRR, 2023

Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets.
CoRR, 2023

Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture.
CoRR, 2023

Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports.
CoRR, 2023

Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports Using Graph Learning.
IROS, 2023

Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Multi-robot task allocation in disaster response: Addressing dynamic tasks with deadlines and robots with range and payload constraints.
Robotics Auton. Syst., 2022

Conceptual Design of Cellular Auxetic Systems with Passive Adaptation to Loading.
CoRR, 2022

Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field.
CoRR, 2022

Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System.
CoRR, 2022

A penalized batch-Bayesian approach to informative path planning for decentralized swarm robotic search.
Auton. Robots, 2022

Efficient Concurrent Design of the Morphology of Unmanned Aerial Systems and their Collective-Search Behavior.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
A finite element-guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions.
Medical Biol. Eng. Comput., 2021

Controlling Draft Interactions Between Quadcopter Unmanned Aerial Vehicles with Physics-aware Modeling.
J. Intell. Robotic Syst., 2021

MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems.
Neurocomputing, 2021

Efficient Inverse Design of 2D Elastic Metamaterial Systems Using Invertible Neural Networks.
CoRR, 2021

Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Learning Robot Swarm Tactics over Complex Adversarial Environments.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments.
J. Intell. Robotic Syst., 2020

An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search.
J. Comput. Inf. Sci. Eng., 2020

Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters.
CoRR, 2020

Metamodel Based Forward and Inverse Design for Passive Vibration Suppression.
CoRR, 2020

Hybrid modeling: Applications in real-time diagnosis.
CoRR, 2020

A physics-aware learning architecture with input transfer networks for predictive modeling.
Appl. Soft Comput., 2020

Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Robust Optimal Selection of Radio Type and Transmission Power for Internet of Things.
ACM Trans. Sens. Networks, 2019

Distributed operation of collaborating unmanned aerial vehicles for time-sensitive oil spill mapping.
Swarm Evol. Comput., 2019

Learning reciprocal actions for cooperative collision avoidance in quadrotor unmanned aerial vehicles.
Robotics Auton. Syst., 2019

Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response.
CoRR, 2019

Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring.
CoRR, 2019

Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution.
CoRR, 2019

Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search.
CoRR, 2019

Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response: Extended Abstract.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents.
Proceedings of the International Conference on Robotics and Automation, 2019

PI-LSTM: Physics-Infused Long Short-Term Memory Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems.
CoRR, 2018

Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering.
CoRR, 2018

2017
Adaptive radio and transmission power selection for Internet of Things.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

2009
Modified predator-prey algorithm for constrained and unconstrained multi-objective optimisation.
Int. J. Math. Model. Numer. Optimisation, 2009


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