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Networks of Autonomous Unmanned Vehicles
Prof. Schwartz Presentation to Frontline Robotics May 8, 2008
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Research and Development Areas
Autonomous Robot Construction. Cooperating Mobile Autonomous Robots. Vision Systems. Robot Flocking and Swarming Robot swarms that adapt and learn (game theory and evolution). Robot teams and learning.
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Autonomous Vehicles Built from low cost robot kit.
HandyBoard HC11 controller Bluetooth communication channel. Sonar sensor. Able to control over internet. On board navigation control.
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Robotic Tracking Activmedia PeopleBot Robot 2 DOF camera
Optical flow-based target detection and verification Target’s motion is estimated using a particle filter Laser rangefinder It is used to determine distance between robot and target
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Robotic Boat developed by 4th-year students
The boat can be controlled over a wireless network User with a PC and a web browser can control the boat from anywhere The web server is placed on the on-board microcontroller, which has not be done before by others
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Robots leaving a room using game theory
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Modelling Robots leaving a room Player B Walk Wait Player A -1 X
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Cooperative robots and intelligence
Robots have own control and navigation algorithms Robots only know their position and others
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Video Processing and Understanding
Tracking of video objects
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Intelligent Video Object Tracking
Tracking, counting and timing of video objects.
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Networks of Robots and Sensor Swarms
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Vehicles Playing the Evader – Pursuit Game
Research Topics Vehicles Learn Each Others Dynamics. Vehicles Adapt Behaviour. Coalition and Team Formation
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Robots avoiding obstacles and following each other
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Multiple Robots
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Swarm Intelligence and Personality Evolution
Game Theory, Coalition formation. Evolutionary Game Theory. Learning (fuzzy, adaptive, genetic). Personality Traits.
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This is a smart robot
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Conclusion Capability in Building Autonomous Vehicles
Autonomous Vehicle Control Swarming Evader/Pursuer Learning and Adapting Networks Robots leaving a room adapting personalities
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