Swarm Robot Project Overview
Overview
The Swarm Robot Project is an ongoing research project in the Laboratory for Intelligent Mechanical Systems led by Drs. Kevin Lynch and Randy Freeman. The project has had several phases throughout its years, starting with initial research in decentralized motion control, as well as in the application of semi-autonomous robots. In addition to these topics, the swarm robot project has applied research to swarm theory and consensus estimation, with numerous applications for environmental sensing. Most recently, the project has focused on adapting several aspects of the robots and related support structure from its original phase to the new direction of research. This has been done through updating the physical e-puck hardware, altering the e-puck motion control code and the vision system code, and physically setting up a new arena. The project has drawn on work done in several fields, such as theoretical research done to develop an efficient consensus estimator for the robots, writing simulation programs to test the consensus theory, as well as continuing development of an effective indoor machine/computer vision system to locate and track the robots through their formation moves, to name some of the work done.
Different Projects
Through the existence of the Swarm Robot Project, there have been several phases of work done, with each phase focused on a different aspect of the project. The initial phase of the project, the Swarm Consensus Estimation (The Michael Hwang) Project, drew on developing an effect consensus estimation algorithm in a decentralized robot network. The next phase, the RGB Swarm Project, focused on furthering the initial research to develop an autonomous robot network capable of received environmental information, using consensus estimation, to develop a picture of the local environment.
Swarm Consensus Estimation (The Michael Hwang) Project
- Main article: Swarm Robot Project Documentation
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RGB Swarm Project
- Main article: RGB Swarm Robot Project
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