• Corpus ID: 54605845

Robot Localization With DASH7 Technology

@inproceedings{Stevens2013RobotLW,
  title={Robot Localization With DASH7 Technology},
  author={Jan Stevens and Rafael Berkvens and Willy Loockx and Maarten Weyn},
  year={2013}
}
Robot localization needs to be solved in order to use the robot for other purposes. In this paper, we examine the feasibility of DASH7 tags, operating on the 433 MHz unlicensed band, for locating mobile robots in domestic environments. We achieve the same level of accuracy as laser range finder based localization, while using less processing power. Our results indicate that DASH7 can be used for robot localization, solving the robot localization problem. Keywords—Localization, DASH7, WSN, Robot… 

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References

SHOWING 1-10 OF 17 REFERENCES

Monte Carlo localization for mobile robots

The Monte Carlo localization method is introduced, where the probability density is represented by maintaining a set of samples that are randomly drawn from it, and it is shown that the resulting method is able to efficiently localize a mobile robot without knowledge of its starting location.

Markov Localization for Mobile Robots in Dynamic Environments

A version of Markov localization which provides accurate position estimates and which is tailored towards dynamic environments, and includes a filtering technique which allows a mobile robot to reliably estimate its position even in densely populated environments in which crowds of people block the robot's sensors for extended periods of time.

Mapping and localization with RFID technology

A probabilistic measurement model for RFID readers that allow us to accurately localize RFID tags in the environment and demonstrates how such maps can be used to localize a robot and persons in their environment.

A case study of mobile robot's energy consumption and conservation techniques

A case study of a mobile robot called Pioneer 3DX is presented, which shows that motion consume less than 50% power on average, and two energy-conservation techniques are introduced: dynamic power management and real-time scheduling.

Detecting and modeling doors with mobile robots

A probabilistic framework for detection and modeling of doors from sensor data acquired in corridor environments with mobile robots is described, which achieves better results than models that only capture behavior, or only capture appearance.

Sold!: auction methods for multirobot coordination

The primary contribution of the paper is to show empirically that distributed negotiation mechanisms such as MURDOCH are viable and effective for coordinating physical multirobot systems.

Non-learning artificial neural network approach to motion planning for the Pioneer robot

  • D. Erickson
  • Computer Science
    Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)
  • 2003
This paper describes the implementation of a biologically-inspired non-learning artificial neural network for robot motion planning on the Pioneer 2DX robot. This motion planner fits within the

Probabilistic robotics

This research presents a novel approach to planning and navigation algorithms that exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.

Multidimensional binary search trees used for associative searching

The multidimensional binary search tree (or <italic>k-d tree) as a data structure for storage of information to be retrieved by associative searches is developed and it is shown to be quite efficient in its storage requirements.

Sequentiële Monte Carlo Methoden (Sequential Monte Carlo Methods)

Een studie naar Sequentiele Monte Carlo Methods toegepast op Hidden Markov Models, waar een model geconstrueerd voor Stochastische Volatiliteit worden aangetoond en bestreden.