But in higher resolution.A little bit about my research: I am interested in using multiple robots, with (possibly) task input from multiple humans, to perform (possibly) complex tasks in (possibly) unknown environments under (possibly) communication constraints(, possibly). I want robots to model their own abilities, make inference on the abilities of other robots, agree on roles, workload balancing, and spatial distribution, and use information from task execution to improve their models over time. The first baby steps we've taken in that direction are i) using voting mechanisms to combine input from multiple human operators ii) representing single global tasks (coverage, search, exploration) as divisible goods to be distributed fairly among a robot team. If you are convinced that I was the person you were looking for, you should definitley take a look at my publications and software.
| 2013 | |
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Fair Subdivision of Multi-Robot Tasks
Juan Camilo Gamboa Higuera, Gregory Dudek IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany. |
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| 2012 | |
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Distributing work among heterogeneous robots: An approach based on fair division theory.
M.Sc. Thesis, School of Computer Science, McGill University |
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Multi-Domain Monitoring of Marine Environments using a Heterogeneous Robot Team
Florian Shkurti, Anqi Xu, Malika Meghjani, Juan Camilo Gamboa Higuera, Yogesh Girdhar, Philippe Giguere, Bir Bikram Dey, Jimmy Li, Arnold Kalmbach, Chris Prahacs, Katrine Turgeon, Ioannis Rekleitis, Gregory Dudek IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Algarve, Portugal |
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Socially-Driven Collective Path Planning for Robot Missions
Juan Camilo Gamboa Higuera, Florian Shkurti, Anqi Xu, Gregory Dudek Canadian Conference on Computer and Robot Vision (CRV 2012), Toronto, Canada |
PDF Bibtex |