Results 1 - 10 of 86,472

Collaborative Multi-Robot Localization

by Dieter Fox, Wolfram Burgard, Hannes Kruppa, Sebastian Thrun , 1999
"... . This paper presents a probabilistic algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic ..."
Abstract - Cited by 43 (8 self) - Add to MetaCart
. This paper presents a probabilistic algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment

Distributed Multi-Robot Localization

by unknown authors
"... Abstract—In this paper we present a new approach to the problem of simultaneously localizing a group of mobile robots capable of sensing one another. Each of the robots collects sensor data regarding its own motion and shares this information with the rest of the team during the update cycles. A sin ..."
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in localization accuracy is presented. Finally, a comparison to the equivalent decentralized information filter is provided. Index Terms—mobile robot localization, multi-robot sensor fusion, distributed Kalman filtering, decentralized estimation. I.

Multi-Robot Localization by Observation Merging

by Ahmet Erdem, H. Levent Akın
"... Abstract. In robot soccer, self-localization of robots may fail because of per-ception failure, falling down or by being pushed by another robot. In this study, our goal is to improve self localization of robots using the teammate robots ’ per-ceptions. Robots which have perceived more landmarks and ..."
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Abstract. In robot soccer, self-localization of robots may fail because of per-ception failure, falling down or by being pushed by another robot. In this study, our goal is to improve self localization of robots using the teammate robots ’ per-ceptions. Robots which have perceived more landmarks

A Bounded Uncertainty Approach to Multi-Robot Localization

by John R. Spletzer, Camillo J. Taylor , 2003
"... We offer a new approach to the multi-robot localization problem. Using an unknown-but-bounded model for sensor error, we are able to define convex polytopes in the configuration space of the robot team that represent the set of configurations consistent with all sensor measurements. Estimates for th ..."
Abstract - Cited by 24 (4 self) - Add to MetaCart
We offer a new approach to the multi-robot localization problem. Using an unknown-but-bounded model for sensor error, we are able to define convex polytopes in the configuration space of the robot team that represent the set of configurations consistent with all sensor measurements. Estimates

A Probabilistic Approach to Collaborative Multi-Robot Localization

by Dieter Fox, Wolfram Burgard , Hannes Kruppa, Sebastian Thrun , 2000
"... This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic method ..."
Abstract - Cited by 238 (19 self) - Add to MetaCart
This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic

COOPERATIVE MULTI-ROBOT LOCALIZATION: USING COMMUNICATION TO REDUCE LOCALIZATION ERROR

by Valguima Odakura, Laboratório Técnicas, Inteligentes Lti, Cidade Universitária, São Paulo-sp, Anna Helena, Reali Costa
"... autonomous systems, mobile robots, multi-robot localization, cooperative multi-robot. In this paper is presented a statistical algorithm for cooperative multi-robot localization. The problem of multirobot localization consists of localizing each robot in a group within the same environment, when rob ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
autonomous systems, mobile robots, multi-robot localization, cooperative multi-robot. In this paper is presented a statistical algorithm for cooperative multi-robot localization. The problem of multirobot localization consists of localizing each robot in a group within the same environment, when

A monte carlo algorithm for multi-robot localization

by Dieter Fox, Wolfram Burgard , 1999
"... This paper presents a statistical algorithm for collaborative mobile robot localization. Our ap-proach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, prob-abilistic meth ..."
Abstract - Cited by 10 (2 self) - Add to MetaCart
This paper presents a statistical algorithm for collaborative mobile robot localization. Our ap-proach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, prob

Cooperative Multi-Robot Localization under Communication Constraints

by Nikolas Trawny, Stergios I. Roumeliotis, Georgios B. Giannakis
"... Abstract — This paper addresses the problem of cooperative localization (CL) under severe communication constraints. Specifically, we present minimum mean square error (MMSE) and maximum a posteriori (MAP) estimators that can process measurements quantized with as little as one bit per measurement. ..."
Abstract - Cited by 18 (6 self) - Add to MetaCart
Abstract — This paper addresses the problem of cooperative localization (CL) under severe communication constraints. Specifically, we present minimum mean square error (MMSE) and maximum a posteriori (MAP) estimators that can process measurements quantized with as little as one bit per measurement

Distributed Heterogeneous Outdoor Multi-robot Localization

by Raj Madhavan, Kingsley Fregene, Lynne E. Parker - In Proceedings of the IEEE International Conference on Robotics and Automation , 2002
"... An Extended Kalman Filter-based algorithm for the localization of a team of robots is described in this paper. The distributed EKF localization scheme is straightforward in that the individual robots maintain a pose estimate using EKFs that are local to every robot. We then show how these results ca ..."
Abstract - Cited by 26 (5 self) - Add to MetaCart
An Extended Kalman Filter-based algorithm for the localization of a team of robots is described in this paper. The distributed EKF localization scheme is straightforward in that the individual robots maintain a pose estimate using EKFs that are local to every robot. We then show how these results

Multi-Robot Localization Using Relative Observations

by Roland Siegwart, See Profile, Agostino Martinelli, Frederic Pont , 2005
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Results 1 - 10 of 86,472