Autonomous Robotic Teams
Autonomous robotic systems will transform commercial and public sector applications, such as intelligent transportation, agriculture, emergency response, and national security. To enable efficient human-robot teaming, we need new abstractions, architectures and algorithms that orchestrate heterogeneous teams. This team seeks to advance the state-of-the-art in human-machine teaming across distributed, heterogeneous robotic systems. Students will learn new theories and technologies that support autonomous robotic systems and implement them on actual robotic systems. They will present results regularly to other members of the team and author reports outlining their work. Through these activities, students will get the opportunity to publish new results at robotics and machine learning conferences.
Projects will include:
- Design and develop autonomous mobile robots with different actuation and sensing capabilities
- Research and develop distributed control and perception algorithms for heterogeneous autonomous robotic teams
- Research and develop new software frameworks that enable flexible team behavior composition and execution
- Develop and experiment with smart perception systems such as embedded computer vision or LIDAR
Interested? Contact Prof. Patrick Martin (email@example.com)