• Corpus ID: 36517483

Distributed Coverage Control by Robot Networks in Unknown Environments Using a Modified EM Algorithm

@article{Hasanbeig2017DistributedCC,
  title={Distributed Coverage Control by Robot Networks in Unknown Environments Using a Modified EM Algorithm},
  author={Mohammadhosein Hasanbeig and Lacra Pavel},
  journal={World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering},
  year={2017},
  volume={11},
  pages={730-738}
}
  • Mohammadhosein HasanbeigL. Pavel
  • Published 2 May 2017
  • Computer Science
  • World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering
In this paper, we study a distributed control algorithm for the problem of unknown area coverage by a network of robots. The coverage objective is to locate a set of targets in the area and to minimize the robots’ energy consumption. The robots have no prior knowledge about the location and also about the number of the targets in the area. One efficient approach that can be used to relax the robots’ lack of knowledge is to incorporate an auxiliary learning algorithm into the control scheme. A… 

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References

SHOWING 1-10 OF 22 REFERENCES

Game theory control solution for sensor coverage problem in unknown environment

This paper studies the coverage problem in an unknown environment by a Mobile Sensor Network, where each agent in the MSN has sensing, communication, computation and moving capabilities to complete sensing tasks and proposes a proposed algorithm based on game theory control.

Multirobot communication network topology via centralized pairwise games

  • H. BayramH. I. Bozma
  • Computer Science
    2013 IEEE International Conference on Robotics and Automation
  • 2013
This paper models the network topology formation as a pairwise game where it forms or severs pairwise links based on the improvement the resulting network offers the robot pairs relative to the current network.

Dynamic Sensor Planning and Control for Optimally Tracking Targets

This paper provides a theoretical framework for tackling the sensor planning problem, and a practical computational strategy inspired by work on particle filtering for implementing the approach, and shows how modeled system dynamics and configuration space obstacles can be handled.

Deployment algorithms for a power‐constrained mobile sensor network

This paper presents distributed coverage algorithms for mobile sensor networks in which agents have limited power to move. Rather than making use of a constrained optimization technique, our approach

Distributed welfare games with applications to sensor coverage

This work considers the situation where the global planner does not have the authority to assign players to resources; rather, players are self-interested and derives sufficient conditions on the distribution rule that ensures the existence of a pure Nash equilibrium in any single-selection distributed welfare game.

Distributed Cooperative coverage Control of Sensor Networks

  • Wei LiC. Cassandras
  • Computer Science
    Proceedings of the 44th IEEE Conference on Decision and Control
  • 2005
A distributed coverage control scheme for cooperating mobile sensor networks that incorporates communication costs into the coverage control problem, viewing the sensor network as a multi-source, single-basestation data collection network.

Coverage control for mobile sensing networks

This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.

SPATIALLY-DISTRIBUTED COVERAGE OPTIMIZATION AND CONTROL WITH LIMITED-RANGE INTERACTIONS

This paper analyzes a class of aggregate objective functions and proposes coverage algorithms in continuous and discrete time that have convergence guarantees and are spatially distributed with respect to appropriate proximity graphs.

Robustness of stochastic stability in game theoretic learning

In the first case, a continuity result is derived that bounds the effects of small uncertainties in the game parameters and in the second case, it is shown that game play tracks drifting stochastically stable states under sufficiently slow time variations.

Active sensor fusion for collision avoidance

  • Terence Chek Hion HengY. KunoY. Shirai
  • Computer Science
    Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97
  • 1997
The result is an active sensor fusion system for the collision avoiding behaviour of mobile robots that can be incorporated into other purposive behaviours (e.g. object seeking, path finding etc.).