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Some location problems for robot navigation using a single camera
Computer Vision, Graphics, and Image Processing
Locating a robot with angle measurements
Journal of Symbolic Computation
Theoretical Computer Science
Information and Computation
On information invariants in robotics
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
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WAFR Proceedings of the workshop on Algorithmic foundations of robotics
Understanding action and sensing by designing action-based sensors
International Journal of Robotics Research - Special issue on integration among planning, sensing, and control
Optimal robot localization in trees
Proceedings of the twelfth annual symposium on Computational geometry
Complexity and real computation
Complexity and real computation
The power of a pebble: exploring and mapping directed graphs
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
On the knowledge requirements of tasks
Artificial Intelligence
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SIAM Journal on Computing
Online computation and competitive analysis
Online computation and competitive analysis
Searching in an unknown environment: an optimal randomized algorithm for the cow-path problem
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
Dynamic Programming and Optimal Control, Two Volume Set
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Introduction to the Theory of Computation
Introduction to the Theory of Computation
Linear System Theory and Design
Linear System Theory and Design
Introduction to Automata Theory, Languages and Computability
Introduction to Automata Theory, Languages and Computability
On-Line Algorithms Versus Off-Line Algorithms: How Much is it Worth to Know the Future?
Proceedings of the IFIP 12th World Computer Congress on Algorithms, Software, Architecture - Information Processing '92, Volume 1 - Volume I
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UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
On the Competitive Complexity of Navigation Tasks
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
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Robot Localization without Depth Perception
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
Robust hybrid control for autonomous vehicle motion planning
Robust hybrid control for autonomous vehicle motion planning
Planning Algorithms
Learning topological maps with weak local odometric information
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Probabilistic robot navigation in partially observable environments
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Online polygon search by a seven-state boundary 1-searcher
IEEE Transactions on Robotics
Localization With Limited Sensing
IEEE Transactions on Robotics
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Dominance and equivalence for sensor-based agents
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Robust navigation in an unknown environment with minimal sensing and representation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
On the Topology of Discrete Strategies
International Journal of Robotics Research
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Theoretical Computer Science
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces
Foundations and Trends in Robotics
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International Journal of Robotics Research
Scale-free coordinates for multi-robot systems with bearing-only sensors
International Journal of Robotics Research
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Robots must complete their tasks in spite of unreliableactuators and limited, noisy sensing. In this paper, we considerthe information requirements of such tasks. What sensing andactuation abilities are needed to complete a given task? Are somerobot systems provably "more powerful", in terms of the tasks thatthey can complete, than others? Can we find meaningful equivalenceclasses of robot systems? This line of research is inspired by thetheory of computation, which has produced similar results forabstract computing machines. Our basic contribution is a dominancerelation over robot systems that formalizes the idea that somerobots are stronger than others. This comparison, which is based onhow the robots progress through their information spaces, induces apartial order over the set of robot systems. We prove some basicproperties of this partial order and show that it is directlyrelated to the robots' ability to complete tasks. We give examplesto demonstrate the theory, including a detailed analysis of alimited-sensing global localization problem.