A navigating rat animat


Autoria(s): Ball, David; Heath, Scott; Milford, Michael; Wyeth, Gordon; Wiles, Janet
Data(s)

2010

Resumo

This paper presents a new rat animat, a rat-sized bio-inspired robot platform currently being developed for embodied cognition and neuroscience research. The rodent animat is 150mm x 80mm x 70mm and has a different drive, visual, proximity, and odometry sensors, x86 PC, and LCD interface. The rat animat has a bio-inspired rodent navigation and mapping system called RatSLAM which demonstrates the capabilities of the platform and framework. A case study is presented of the robot's ability to learn the spatial layout of a figure of eight laboratory environment, including its ability to close physical loops based on visual input and odometry. A firing field plot similar to rodent 'non-conjunctive grid cells' is shown by plotting the activity of an internal network. Having a rodent animat the size of a real rat allows exploration of embodiment issues such as how the robot's sensori-motor systems and cognitive abilities interact. The initial observations concern the limitations of the deisgn as well as its strengths. For example, the visual sensor has a narrower field of view and is located much closer to the ground than for other robots in the lab, which alters the salience of visual cues and the effectiveness of different visual filtering techniques. The small size of the robot relative to corridors and open areas impacts on the possible trajectories of the robot. These perspective and size issues affect the formation and use of the cognitive map, and hence the navigation abilities of the rat animat.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/40389/

Publicador

MIT Press

Relação

http://eprints.qut.edu.au/40389/1/c40389.pdf

http://www.alife12.org/

Ball, David, Heath, Scott, Milford, Michael, Wyeth, Gordon, & Wiles, Janet (2010) A navigating rat animat. In Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems, MIT Press, Odense, Denmark, pp. 804-811.

Direitos

Copyright 2010 [please consult the authors]

Fonte

Faculty of Built Environment and Engineering; Institute for Future Environments; Science & Engineering Faculty; School of Engineering Systems

Palavras-Chave #080101 Adaptive Agents and Intelligent Robotics #Robot #Animat #RatSLAM #Navigation
Tipo

Conference Paper