• Corpus ID: 16008592

An overview of Behavioural-based Robotics with simulated implementations on an Underwater Vehicle

@inproceedings{Carreras2000AnOO,
  title={An overview of Behavioural-based Robotics with simulated implementations on an Underwater Vehicle},
  author={Marc Carreras and P{\'e}rez and Joan Batlle I Grabulosa},
  year={2000}
}
A HYBRID MODULAR CONTROL ARCHITECTURE FOR EMBODIED AGENTS
TLDR
A hybrid modular control architecture HMAS is proposed, aimed to be a conceptual framework for the design of complex behaviours of embodied agents based on the behaviour-based control paradigm and combines advantages of several similar architectures known from the literature.
Hybrid coordination of reinforcement learning-based behaviors for AUV control
  • M. Carreras, J. Batlle, P. Ridao
  • Engineering, Computer Science
    Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)
  • 2001
TLDR
The feasibility of applying the hybrid coordination method with a 3D-navigation to an autonomous underwater vehicle (AUV) with good performance on behavior coordination as well as the convergence of the behaviors is shown.
A Framework for the Development of Scalable Heterogeneous Robot Teams with Dynamically Distributed Processing
TLDR
This research presents a new approach to control system design that looks beyond end-of-lifecycle performance and considers control system structure, flexibility, and extensibility.
A behavior-based scheme using reinforcement learning for autonomous underwater vehicles
TLDR
A hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs) with advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach.
Control of an autonomous Robot using Multiple RL-based Behaviors
TLDR
The paper shows real results of the SONQL algorithm learning a target following behavior, and attempts to solve the generalization problem by proposing the Semi-Online Neural-Q_learning algorithm (SONQL).
Integrated control of vehicle chassis systems
TLDR
This research provides a foundation for the implementation of the designed controllers and coordinators in a prototype vehicle, and demonstrates good performance, and is well suited to a 'plug-and-play' philosophy.
An hybrid methodology for RL-based behavior coordination in a target following mission with an AUV
  • M. Carreras, J. Yuh, J. Batlle
  • Engineering
    MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)
  • 2001
Proposes a behavior-based scheme for high-level control of autonomous underwater vehicles (AUVs). Two main characteristics can be highlighted in the control scheme. Behavior coordination is done

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