Physically Based Simulation Model for Acoustic Sensor Robot Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uncertain robot environment modelling using fuzzy numbers
Fuzzy Sets and Systems
Fuzzy logic and autonomous vehicles: experiments in ultrasonic vision
Fuzzy Sets and Systems
Approximate Reasoning Models
An Evidential Approach to Probabilistic Map-Building
RUR '95 Proceedings of the International Workshop on Reasoning with Uncertainty in Robotics
Incremental map generation by low cost robots based on possibility/necessity grids
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Map generation by means of autonomous robots and possibility propagation techniques
Proceedings of the third annual conference on Autonomous Agents
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
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In this paper we present some results obtained with a troupeof low-cost robots designed to cooperatively explore unknownstructured orthogonal environments. In order to improve the coveringof the explored zone the robots show different behaviours (routine,normal and anxious) and cooperate by transferring each other theperceived environment when they meet; therefore, not all theinformation of the non-returning robots is lost provided that they hadencountered robots that safely returned. The returning robots deliverto a host their perceived and communicated (by other robots) partialmaps and the host incrementally generates the most plausible map ofthe environment. To perform the map generation, a fusion, completionand alignment process of the partial maps, based on fuzzy techniques,has been developed.