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Titlebook: Design and Control of Intelligent Robotic Systems; Dikai Liu,Lingfeng Wang,Kay Chen Tan Book 2009 Springer-Verlag Berlin Heidelberg 2009 A

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樓主: risky-drinking
31#
發(fā)表于 2025-3-27 00:02:11 | 只看該作者
An Exploration of Online Parallel Learning in Heterogeneous Multi-robot Swarms, parallel swarm-robotic learning of obstacle avoidance behavior using both Genetic Algorithms and Particle Swarm Optimization. We also observe the diversity of robotic controllers throughout the learning process using two different metrics in an attempt to better understand the evolutionary process.
32#
發(fā)表于 2025-3-27 03:38:15 | 只看該作者
Strukturieren, Formalisieren, Axiomatisierene behavior coordination. Two real robot applications are implemented by using such an approach, one is a Sony quadruped robot for soccer playing and another is a robotic fish for entertainment. Real robot testing results are provided to verify the proposed approach.
33#
發(fā)表于 2025-3-27 08:40:08 | 只看該作者
34#
發(fā)表于 2025-3-27 09:30:31 | 只看該作者
35#
發(fā)表于 2025-3-27 15:39:21 | 只看該作者
36#
發(fā)表于 2025-3-27 20:33:17 | 只看該作者
Swarm Intelligence for Collective Robotic Search,ve search are presented for simulated environments containing single and multiple targets, with and without obstacles. The proposed navigation strategies can be further developed and applied to real-world applications such as aiding in disaster recovery, detection of hazardous materials, and many other high-risk tasks.
37#
發(fā)表于 2025-3-27 23:28:32 | 只看該作者
38#
發(fā)表于 2025-3-28 02:12:10 | 只看該作者
Mit Formeln und Strukturen umgehenhromosome encoding scheme that provides both path and trajectory planning. The terrain conditions are modeled using fuzzy linguistic variables to allow for the imprecision and uncertainty of the terrain data. The method is extensible and robust, allowing the robot navigate in real-time and to adapt to dynamic conditions in the environment.
39#
發(fā)表于 2025-3-28 09:13:04 | 只看該作者
40#
發(fā)表于 2025-3-28 13:08:00 | 只看該作者
,Ans?tze des formalen SQL-Tunings,ve search are presented for simulated environments containing single and multiple targets, with and without obstacles. The proposed navigation strategies can be further developed and applied to real-world applications such as aiding in disaster recovery, detection of hazardous materials, and many other high-risk tasks.
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