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Adaptive Robotics & Technology Lab

Texas A&M University College of Engineering

Consensus decision making in robotic swarms

Decision making and wireless communication in an artificial swarm are fundamental engineering problems. This line of research focuses on developing algorithms for consensus-based decision making, task allocation, and collective task performance in robotic swarms and establishing effective and reliable wireless networking.

PUBLICATIONS:

  1. Y. Liu and K. Lee. Probabilistic consensus decision making algorithm for artificial swarm of primitive robots. SN Applied Sciences, 2019.
  2. D. Jeong and K. Lee. DISTRIBUTED SENSING AND COMMUNICATION ALGORITHMS FOR HOMOGENEOUS SWARM ROBOTS. International Symposium on Distributed Autonomous Robotic Systems, November 2014, Daegeon, Korea.
  3. D. Jeong and K. Lee. DISPERSION AND LINE FORMATION IN ARTIFICIAL SWARM INTELLIGENCE. Collective Intelligence 2014, MIT, June, 2014.
  4. D. Jeong and K. Lee. INCHBOT: A NOVEL MICROROBOTIC PLATFORM.IEEE/RSJ International Conference on Robots and Systems (IROS 2013), November 2013, Tokyo, Japan.
  5. D. Jeong and K. Lee. DIRECTIONAL RSS-BASED LOCALIZATION OF MULTI-ROBOT APPLICATIONS. 12th WSEAS International Conference on Signal Processing, Robotics, and Automation, Cambridge, UK, February 2013.

Research Areas

  • Adaptive Healthcare Technologies
  • Novel Robotic Mechanisms
  • Swarm Intelligence and Robotics
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