Difference between revisions of ""TROLL": a regenerating robot"
From ISLAB/CAISR
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|Summary="TROLL": a regenerating robot | |Summary="TROLL": a regenerating robot | ||
|References=K. Gold, B. Scassellati, Using probabilistic reasoning over time to self-recognize, Robotics and Autonomous Systems (2008), doi:10.1016/j.robot.2008.07.006 | |References=K. Gold, B. Scassellati, Using probabilistic reasoning over time to self-recognize, Robotics and Autonomous Systems (2008), doi:10.1016/j.robot.2008.07.006 | ||
− | |Supervisor=Martin Cooney, Anita Sant'Anna, | + | |Supervisor=Martin Cooney, Anita Sant'Anna, |
+ | |Level=Master | ||
|Status=Open | |Status=Open | ||
}} | }} |
Revision as of 14:20, 11 November 2014
Title | "TROLL": a regenerating robot |
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Summary | "TROLL": a regenerating robot |
Keywords | |
TimeFrame | |
References | K. Gold, B. Scassellati, Using probabilistic reasoning over time to self-recognize, Robotics and Autonomous Systems (2008), doi:10.1016/j.robot.2008.07.006 |
Prerequisites | |
Author | |
Supervisor | Martin Cooney, Anita Sant'Anna |
Level | Master |
Status | Open |
Goal: a companion robot which can fix some of its own problems itself
Motivation: people, especially the elderly, cannot be expected to maintain very complex robots; robots should help out
Challenge: it's tough even for humans to repair robots. For a soft companion robot intended to interact closely with people, two very common problems are:
degradation of its exterior (marks and scratches) motor problems (due to e.g., frayed/loose cables, gears wearing down)
Approach:
To detect the problems above, the student will set up a robot to look at itself periodically in a mirror while moving, comparing a mental model of itself with what it actually perceives. Time allowing, the student should also try to develop some capability for the robot to seek to repair identified problems: marking holes in its exterior and damaged motors, and possibly robot motions to try to fill holes with foam
Requirement: some capability to work with software, and interest in robots and recognition
Expected results: a thesis/report, code, video