Journal ArticleDOI
A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning
Hee Rak Beom,Hyungsuck Cho +1 more
- Vol. 25, Iss: 3, pp 464-477
TLDR
In this paper, a behavior selector using a bistable switching function chooses a behavior at each action step so that the mobile robot can go for the goal position without colliding with obstacles.Citations
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Journal ArticleDOI
Sampling-Based Robot Motion Planning: A Review
Mohamed Elbanhawi,Milan Simic +1 more
TL;DR: The state of the art in motion planning is surveyed and selected planners that tackle current issues in robotics are addressed, for instance, real-life kinodynamic planning, optimal planning, replanning in dynamic environments, and planning under uncertainty are discussed.
Journal ArticleDOI
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
TL;DR: This work introduces a recurrent deep neural network for real-time financial signal representation and trading and proposes a task-aware backpropagation through time method to cope with the gradient vanishing issue in deep training.
Journal ArticleDOI
The uses of fuzzy logic in autonomous robot navigation
TL;DR: This paper focuses on four issues: how to design robust behavior-producing modules; how to coordinate the activity of several such modules;How to use data from the sensors; and how to integrate high-level reasoning and low-level execution.
Patent
Autonomous multi-platform robot system
TL;DR: In this paper, an autonomous mobile robot system allocates mapping, localization, planning and control functions to at least one navigator robot and allocates task performance functions to one or more functional robots.
Journal ArticleDOI
Sensor fusion for mobile robot navigation
TL;DR: An arsenal of tools for addressing this (rather ill-posed) problem in machine intelligence, including Kalman filtering, rule-based techniques, behavior based algorithms, and approaches that borrow from information theory, Dempster-Shafer reasoning, fuzzy logic and neural networks are provided.
References
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Book
A robust layered control system for a mobile robot
TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
Journal ArticleDOI
Real-time obstacle avoidance for manipulators and mobile robots
TL;DR: This paper reformulated the manipulator con trol problem as direct control of manipulator motion in operational space—the space in which the task is originally described—rather than as control of the task's corresponding joint space motion obtained only after geometric and geometric transformation.
Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Journal Article
Fuzzy logic in control systems : fuzzy logic controller. Part II
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
Journal ArticleDOI
Neuronlike adaptive elements that can solve difficult learning control problems
TL;DR: In this article, a system consisting of two neuron-like adaptive elements can solve a difficult learning control problem, where the task is to balance a pole that is hinged to a movable cart by applying forces to the cart base.