Paper
12 June 1996 Parallel-distributed mobile robot simulator
Hiroyuki Okada, Minoru Sekiguchi, Nobuo Watanabe
Author Affiliations +
Abstract
The aim of this project is to achieve an autonomous learning and growth function based on active interaction with the real world. It should also be able to autonomically acquire knowledge about the context in which jobs take place, and how the jobs are executed. This article describes a parallel distributed movable robot system simulator with an autonomous learning and growth function. The autonomous learning and growth function which we are proposing is characterized by its ability to learn and grow through interaction with the real world. When the movable robot interacts with the real world, the system compares the virtual environment simulation with the interaction result in the real world. The system then improves the virtual environment to match the real-world result more closely. This the system learns and grows. It is very important that such a simulation is time- realistic. The parallel distributed movable robot simulator was developed to simulate the space of a movable robot system with an autonomous learning and growth function. The simulator constructs a virtual space faithful to the real world and also integrates the interfaces between the user, the actual movable robot and the virtual movable robot. Using an ultrafast CG (computer graphics) system (FUJITSU AG series), time-realistic 3D CG is displayed.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroyuki Okada, Minoru Sekiguchi, and Nobuo Watanabe "Parallel-distributed mobile robot simulator", Proc. SPIE 2740, High-Fidelity Simulation for Training, Test Support, Mission Rehearsal, and Civilian Applications, (12 June 1996); https://doi.org/10.1117/12.242968
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KEYWORDS
Computer simulations

Virtual reality

3D modeling

Mobile robots

Robotic systems

Sensors

Silver

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