Incremental map generation by low cost robots based on possibility/necessity grids

Authors:
Maite López-Sánchez;R. López de Mántaras;C. Sierra
Affiliations:
IIIA-Artificial Intelligence Research Institute, CSIC-Spanish Scientific Research Council, Bellaterra, Spain;IIIA-Artificial Intelligence Research Institute, CSIC-Spanish Scientific Research Council, Bellaterra, Spain;IIIA-Artificial Intelligence Research Institute, CSIC-Spanish Scientific Research Council, Bellaterra, Spain
Venue:
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Year:
1997

Citing 5
Cited 5

Uncertain robot environment modelling using fuzzy numbers

Fuzzy Sets and Systems
Combination of compatible belief functions and relation of specificity

Advances in the Dempster-Shafer theory of evidence
Fuzzy logic and autonomous vehicles: experiments in ultrasonic vision

Fuzzy Sets and Systems
Cooperative Autonomous Low-Cost Robots for exploring Unknown Environments

The 4th International Symposium on Experimental Robotics IV
Intelligence without reason

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

Machine Learning - Special issue on learning in autonomous robots
Map generation by means of autonomous robots and possibility propagation techniques

Proceedings of the third annual conference on Autonomous Agents
Next century challenges: scalable coordination in sensor networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Map Generation by Cooperative Low-Cost Robots inStructured Unknown Environments

Autonomous Robots - Special issue on autonomous agents
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

Autonomous Robots

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present some results obtained with a troupe of low-cost robots designed to cooperatively explore and adquire the map of unknown structured orthogonal environments. In order to improve the covering of the explored zone, the robots show different behaviours and cooperate by transferring each other the perceived environment when they meet. The returning robots deliver to a host computer their partial maps and the host incrementally generates the map of the environment by means of a possibility/necessity grid.