Yaniel Carreno

Research project title: 
Multi-Vehicle Coordination and Planning for marine robots
Principal goal for project: 
Develop planning techniques for autonomous platforms, which are scalable to multiple platforms.
Research project: 

The main goal of the project is to develop new planning techniques that enable long-term planning of unmanned systems with the ability to plan hierarchically, re-plan short term activities on the fly and propose long term modifications of plans to a supervisor. We would want to explore constraints around power, data, position accuracy requirements, degraded performance and re-planning. Some references of previous work: 1. Muscettola, N.; Dorais, G. A.; Fry, C.; Levinson, R.; Plaunt, C.: IDEA: Planning at te Core of Autonomous Reactive Agents. In: 3rd International NASA Workshop on Planning and Scheduling for Space. 2002 2. Fratini, S.; Pecora, F.; Cesta, A.: Unifying Planning and Scheduling as Timelines in a Component-Based Perspective. In: Archives of Control Sciences, 18(2), 2008, 231-271. 3. Mansouri, M.; Pecora, F., More knowledge on the table: Planning with space, time and resources for robots, Robotics and Automation (ICRA), 2014 IEEE International Conference on, 2014 “Qualitative Representations for Robots”, Stanford, CA, March 24-26, 2014

About me: 

I'm currently a second year PhD student at the Edinburgh Centre for Robotics supervised by Prof. Yvan Petillot and Dr. Ron Petrick . I hold a MSc in Robotics and Autonomous Systems, from Heriot-Watt University graduating in 2018, with Distinction and a MEng in Electronic and Digital Systems from the University of Strathclyde graduating in 2017, with Distinction. I was awarded with an industry studentship sponsored by BAE Systems Surface Ships Ltd in the Centre for Doctoral Training in Robotics and Autonomous Systems (RAS) in Edinburgh. Prior to the CDT, I was involved in some robotic projects in the Central University in Cuba where I was doing a BSc in Control Theory. I was involved in a control project to implement different control techniques in platforms of 3 DoF & 2 DoF for pilots training.

Student type: 
Current student
Sponsor / Partner: