Swarm Tactics Learning and Human-Swarm Interaction

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Talent Metrics Sequential Co-design

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Multi-Robot Task Allocation using Graph Learning

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Stochasticity and Generalization of Autonomous Operation

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Swarm Robotics

Robotic systems, often working collaboratively as a team of multiple autonomous agents, are becoming valuable players in different real-world applications; these include search and…

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Neuroevolution

In decision-support applications for autonomous systems, the architecture or topology of Artificial Neural Networks (ANN) is often user-prescribed, thereby leading to sub-optimal prediction models…

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Transitioning UAVs

Multi-ability unmanned aerial vehicles have grown attention in the last decade. They also provide the advantage of vertical take-off and landing and forward flight…

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LATEST NEWS & EVENTS

    • Dr. Souma Chowdhury has been selected to join the Executive Committee of ASME DAC, in August 2023. The DAC Executive Committee is a rotating group of five experts in Design Automation that organizes the DA conference (DAC) under ASME IDETC.
    • New supplement funding — NSF CAREER REU Supplement (two): To support swarm robotics research of two undergraduate students (from MAE and CSE) as part of the following NSF project: ““Automated Design of Decentralized Robust and Explainable Swarm Systems (ADDRESS)“. July 2023 – July 2024.”
    • Congrats! to Chris Kakis (UG junior) for receiving the $2,500 Zimmer scholarship from UB for his ongoing experimental research work on tether net systems in ADAMS Lab.
    • New funding award — NASA, R&TD – Innovative Spontaneous Concepts (ISC), Physics-informed Machine Learning (PIML) towards a Real-time and Interpretable Thermal Simulator, Lead: NASA JPL, Sub-Contract: University at Buffalo (PI: Souma Chowdhury), Period: Apr 2023 – Aug 2023.
    • Prajit (PhD student) and Henry (UG senior) performed an exciting demonstration of AI-based Air-Traffic Control of four drones — for over 70 attendees in AIAA Region 1 Student Conference, Apr 1, 2023.
    • Congrats! to Nathan Maurer for graduating with his MS Thesis in Robotics, Jan 2023
    • Congrats! to Jhoel Witter for graduating with his MS Thesis in Robotics, Jan 2023
    • Dr. Chowdhury receives membership elevation to IEEE Senior Member, Sep 27, 2022.
    • Dr. Chowdhury starting on his 1 month sabbatical visit at NASA Jet Propulsion Lab (JPL), Maritime and Multi-Agent Autonomy group, Sep 26, 2022.
    • Seminar Talk by Dr. Chowdhury at Rutgers University, Industrial and Systems Engineering, on “Adaptation is the Key: Scalable Robot Swarms & Robust Autonomy”, Sep 21, 2022.
    • Seminar Talk by Dr. Chowdhury at NASA Jet Propulsion Lab (JPL), on “Adaptation is the Key: Scalable Robot Swarms & Robust Autonomy”, Jul 12, 2022.
    • May 2022: Chen Zeng, graduated with his Ph.D.
    • New funding award — NASA, SBIR Phase II, Title: Integrated Flight Control Design and Multidisciplinary Optimization, Lead: Bechamo LLC (PI: Michael Piedmonte), Subcontract: University at Buffalo (PI: Souma Chowdhury); Period: Apr 21, 2022 – Apr 20, 2024.
    • Received 2022 IEEE ICRA Outstanding Coordination Paper Finalist recognition — Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks.
    • Seminar Talk by Dr. Chowdhury at University of Illinois, Chicago, on Adaptation is the Key: Scalable Robot Swarms & Robust Autonomy, Apr 12, 2022.
    • Jan 2022: New Seed Funding Award — SSISTL Sponsored Pilot Research Funding; PI: Souma Chowdhury, Co-PI: Ehsan Esfahani; Title: Data-driven Modeling of Human-Pilot Behavior for Unmanned Aerial Systems with Extensions to Urban Air Mobility Systems, Feb 2022 – Jan 2023;  Amount: $55,556.
    • Jan 2022: AIAA Scitech papers presented on: Efficient Training of Transfer Mapping in Physics-infused Machine Learning models of UAV Accoustics field, Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System. 
    • Nov 2021: International Symposium on Multi-Robot and Multi-Agent Systems-2021 Learning Robot Swarm Tactics over Complex Adversarial Environments,  received the Best Paper Award.
    • Dec 2021: Chen Zeng, a Ph.D. candidate at ADAMS Lab, successfully defended his Ph.D. proposal.
    • Oct 2021: Article — Payam Ghassemi’s Multi-Robot Task Allocation work featured on TechXplore
      An Online Method to allocate tasks to robots on a team during natural disaster scenarios
    • Aug 2021: New Funding Award — NSF Foundational Research in Robotics, PI: Eleonora Botta, Co-PI: Souma Chowdhury, “Modeling, Design and Operation of Robotic Tether-Net Systems for Reliable Capture of Targets“. Sep 2021 – Aug 2024.
    • May 2021: New Funding Award — ONR Artificial Intelligence/Machine Learning for Photonics, Power & Energy, Atmospherics, and Quantum Science, PI (UB portion): Souma Chowdhury, Collaborative with UT Dallas (lead), “Learning On Graphs for Resilience Decision-Support in Real-World Networks“. May 2021 – May 2025.
    • Feb 2021: New Funding Award — NSF CAREER (CMMI/Engineering Design and System Engineering(EDSE)), PI: Souma Chowdhury, “Automated Design of Decentralized Robust and Explainable Swarm Systems (ADDRESS)“. June 2021 – May 2026.
    • May 2021: Amir Behjat, graduated with his Ph.D., Dissertation: “Evolutionary & Physics Infused Learning for intelligent Systems“.
    • Jan 2021: Payam Ghassemi, graduated with his Ph.D., Dissertation: “Decentralized Planning Algorithms and Hybrid Learning for Scalable and Explainable Swarm Robotic Systems“.

To conceive, analyze and design complex systems, we investigate new approaches that are founded on a fundamental notion ofadaptation”. Adaptation is realized by bringing together nature inspired principles of computation, rigorous engineering design methods, and machine learning.

Open Positions in ADAMS Lab (2022-2023):

Currently, there are two Ph.D. positions available in ADAMS Lab for Spring (Jan) 2023, in the following areas of research,

  • Robot Learning
  • Aerial Robot Design
  • Swarm Robotics
  • Physic-aware Machine Learning and Optimization

For further information on these positions, please see this flyer, or contact Dr. Chowdhury: soumacho@buffalo.edu .

ADAMS Lab is also looking for exceptional Masters and Undergraduate students who have the motivation to excel in the below areas of scholarly research. A successful student in these areas must have a solid background in mathematics, engineering, and computer programming. Good communication skills and previous research experience are a plus. For further information, click here, or contact Dr. Chowdhury: soumacho@buffalo.edu .

Fundamental areas of research in the ADAMS lab include:

  • Swarm Systems: swarm intelligence for distributed search, task allocation, optimization, and decentralized cyber-physical systems.
  • Evolutionary–Neural Algorithms: concurrent design of the morphological and intelligence architecture of autonomous systems; evolution of neural network topologies.
  • Physics-cognizant machine learning: physics-aware hybrid machine learning architectures for dynamic systems
  • Metamodeling and Multi-fidelity Optimization: automated selection and adaptive refinement of metamodels; multi-objective and mixed-integer optimization.

Major areas of application include:

  • Unmanned Aerial Vehicles (UAVs)
  • Swarm Robotics & Multi-Robotics
  • Metamaterial Systems Design & Morphological Computing Bio-inspired Flow Modulation 
  • Physics Infused Machine Learning
  • Neuro-evolution and Graph Learning
  • Cyber Physical Systems (e.g., real-world networks)
  • Urban Air Mobility aka Flying Cars

Most Recent Publications