Jeff S. Shamma

About

Jeff S. Shamma is a distinguished robotics and control systems researcher whose work spans multi-robot systems, swarm intelligence, distributed optimization, and game-theoretic learning. Over a career bridging foundational robotics and cutting-edge autonomous systems, Shamma has made lasting contributions to how robots perceive, coordinate, and make decisions—particularly in infrastructure-constrained environments. His early work on inverse robot calibration (1987) addressed a fundamental challenge in manipulator control, establishing methods that remain relevant in robotics education. More recently, Shamma has emerged as a leading voice in aerial swarm robotics, with his 2021 survey on aerial swarm applications garnering 159 citations and serving as a key reference for researchers entering the field. His team's innovations in ultrawideband-based peer-to-peer localization—enabling robots to navigate without GPS or motion capture systems—have proven particularly impactful, accumulating over 100 citations across related works and offering practical solutions for real-world deployments in GPS-denied environments. Shamma's contributions extend to distributed optimization frameworks, modular self-assembling robots, underwater pipeline inspection, and game-theoretic approaches to multi-agent coordination. His interdisciplinary breadth, combining rigorous control theory with hands-on systems development, makes his research portfolio both theoretically rich and practically transformative for the next generation of autonomous robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Aerial Swarms: Recent Applications and Challenges

   159 citations · 2021
2. 2
   A Method for Inverse Robot Calibration

   73 citations · 1987
3. 3
   Peer-to-Peer Relative Localization of Aerial Robots With Ultrawideband Sensors

   58 citations · 2020
4. 4
   Distributed Optimization for Robot Networks: From Real-Time Convex Optimization to Game-Theoretic Self-Organization

   34 citations · 2020
5. 5
   Infrastructure-free Multi-robot Localization with Ultrawideband Sensors

   33 citations · 2019
6. 6
   Robustness of stochastic stability in game theoretic learning

   23 citations · 2013
7. 7
   An Automated Quadcopter CAD based Design and Modeling Platform using Solidworks API and Smart Dynamic Assembly

   19 citations · 2017
8. 8
   Multi-robot system for inspection of underwater pipelines in shallow waters

   16 citations · 2024
9. 9
   usBot: A Modular Robotic Testbed for Programmable Self-Assembly

   14 citations · 2019
10. 10
    Real Time Onboard Ultrawideband Localization Scheme for an Autonomous Two-robot System

    13 citations · 2018

Key Collaborators

Contact & Links