Title:
Primate - Inspired Vehicle Navigation Using Optic Flow and Mental Rotations
Primate - Inspired Vehicle Navigation Using Optic Flow and Mental Rotations
Author(s)
Arkin, Ronald C.
Dellaert, Frank
Srinivasa, Natesh
Kerwin, Ryan
Dellaert, Frank
Srinivasa, Natesh
Kerwin, Ryan
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Abstract
Robot navigation already has many relatively efficient solutions: reactive control, simultaneous localization and mapping (SLAM), Rapidly-Exploring Random Trees (RRTs), etc. But many primates possess an additional inherent spatial reasoning capability:
mental rotation. Our research addresses the question of what role, if any, mental rotations
can play in enhancing existing robot navigational capabilities. To answer this question we explore the use of optical flow as a basis for extracting abstract representations of the world, comparing these representations with a goal state of similar
format and then iteratively providing a control signal to a robot to allow it to move in a direction consistent with
achieving that goal state. We study a range of transformation methods to implement the mental rotation component of the architecture, including correlation and matching based on cognitive studies. We also include a discussion of how
mental rotations may play a key role in understanding spatial advice giving, particularly from other members of the species, whether in map-based format, gestures, or other means of communication.
Results to date are presented on our
robotic platform.
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Date Issued
2013
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Text
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Paper