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Titlebook: Distributed Autonomous Robotic Systems 4; Lynne E. Parker (Senior Research Staff),George Bek Book 2000 Springer Japan 2000 Distributed rob

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樓主: Capricious
31#
發(fā)表于 2025-3-26 21:24:54 | 只看該作者
Communication Fault Tolerance in Distributed Robotic Systemsed selection equations to achieve this problem. This intrinsically distributed algorithm has several advantages over traditional integer programs and other distributed approaches: 1) no backtracking is needed, 2) it can be used for NP-hard problems, such as assigning multiple robots with different c
32#
發(fā)表于 2025-3-27 04:48:34 | 只看該作者
Blazing a trail: Insect-inspired resource transportation by a robot teamrail laying and following algorithm inspired by the trail following of ants and the waggle dance of honey bees. Rather than directly marking their environment, the robots announce landmarks in their odometric localization space. The system tolerates significant odometric drift before it breaks down.
33#
發(fā)表于 2025-3-27 06:51:11 | 只看該作者
Artificial Emotion and Social Robotics the robot survival, for responding emotionally to situations experienced in the world and to humans interacting with it. But psychological evidence also suggests that emotion plays an important role in managing social interactions in groups. This document is a position paper explaining why emotion
34#
發(fā)表于 2025-3-27 10:41:31 | 只看該作者
The Use of Biologically-Inspired Rules to Control a Collective Robotic Armtecture could exhibit adaptive behavior without centralized control. To simulate the physical properties of a collective robotic arm, we used a puppet arm with six identical elbow-shaped segments, each of which rotated orthogonally with respect to its adjacent neighbors. A control strategy of sensor
35#
發(fā)表于 2025-3-27 16:06:51 | 只看該作者
36#
發(fā)表于 2025-3-27 20:34:45 | 只看該作者
37#
發(fā)表于 2025-3-28 01:06:05 | 只看該作者
38#
發(fā)表于 2025-3-28 06:04:20 | 只看該作者
39#
發(fā)表于 2025-3-28 07:53:06 | 只看該作者
40#
發(fā)表于 2025-3-28 12:21:21 | 只看該作者
Performance Evaluation of Autonomous Knowledge Acquisition and Sharing by Intelligent Data Carriersports the best direction to a destination that a robot wants to go. Based on a stochastic model, we establish a function to evaluate effectiveness of knowledge management by the IDCs. We verify effectiveness of the proposed algorithm by simulations.
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