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Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
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Topological mapping for mobile robots using a combination of sonar and vision sensing
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
BISMARC: a biologically inspired system for map-based autonomous rover control
Neural Networks - Special issue on neural control and robotics: biology and technology
Understanding intelligence
The spatial semantic hierarchy
Artificial Intelligence
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Task Modelling in Collective Robotics
Autonomous Robots
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Cognitive Maps for Planetary Rovers
Autonomous Robots
Cognitive Maps for Planetary Rovers
Autonomous Robots
Intelligent traction control for wheeled space vehicles
FS'05 Proceedings of the 6th WSEAS international conference on Fuzzy systems
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
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Robotic missions beyond 2013 will likely be precursors to a manned habitat deployment on Mars. Such missions require robust control systems for long duration activities. Current single rover missions will evolve into deployment of multiple, heterogeneous cooperating robotic colonies. This paper describes the map-making memory and action selection mechanism of BISMARC (\underline{\rm B}iologically \underline{\rm I}nspired \underline{\rm S}ystem for \underline{\rm M}ap-based \underline{\rm A}utonomous \underline{\rm R}over \underline{\rm C}ontrol) that is currently under development at the Jet Propulsion Laboratory in Pasadena, CA (Huntsberger and Rose, iNeutral Networks, 11(7/8):1497–1510). BISMARC is an integrated control system for long duration missions involving robots performing cooperative tasks.