Nutrient
发表于 2025-3-25 06:05:50
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STALE
发表于 2025-3-25 08:13:15
Evolving Visual Object Recognition for Legged Robotsidate image regions. Rule selection and parameters tuning are often arbitrarily done. We propose a method for evolving the selection of these rules as well as their parameters with basis on real game field images, and a supervised learning approach. The learning approach is implemented using genetic
无所不知
发表于 2025-3-25 15:13:01
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抛射物
发表于 2025-3-25 15:59:35
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DUST
发表于 2025-3-25 23:08:57
A Real-Time Auto-Adjusting Vision System for Robotic Soccering lighting conditions during run time. The adaptation is based on statistics which are computed when recognizing objects and leads to a segmentation of the color space to different color classes. Based on attention, scan lines are distributed over the image ensuring that all objects of interest in
urethritis
发表于 2025-3-26 03:56:38
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光亮
发表于 2025-3-26 06:08:35
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daredevil
发表于 2025-3-26 12:00:40
Evaluating Team Performance at the Edge of Chaosrmance. The techniques clearly identify under-performing states, where a change in tactics may be warranted. This approach is a step towards a unified quantitative framework on behavioural and belief dynamics in complex multi-agent systems.
Postmenopause
发表于 2025-3-26 13:16:14
Echo State Networks for Mobile Robot Modeling and Controlhts . of an otherwise topologically unrestricted but contractive network. After outlining the mathematical basics, we apply ESNs to two examples namely to the generation of a dynamical model for a differential drive robot using supervised learning and secondly to the training of a respective motor controller.
Kidnap
发表于 2025-3-26 20:42:44
Evolving Visual Object Recognition for Legged Robots well as their parameters with basis on real game field images, and a supervised learning approach. The learning approach is implemented using genetic algorithms. Results of the application of our method are presented.