English(EN) A Spiking Neural Architecture for Coordinating Arm and Locomotor Control

脉冲神经网络整合人形机器人的手臂和腿部控制

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-09 16:05

研究人员开发了一种新颖的脉冲神经网络架构，能够协调人形机器人的手臂和运动控制。该系统集成了基于力的手臂控制和双足运动，并通过用于动作选择的脉冲基底神经节模型进行调解。该架构已在模拟中成功演示，能够执行目标抓取、绘画和路径跟随运动等任务，并在行走和手臂操作之间无缝切换。 AI

影响为人形机器人实现更集成、更节能的控制，为在神经形态硬件上部署铺平道路。

排序理由该集群包含一篇详细介绍机器人新神经网络架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Chris Eliasmith · 2026-06-09 16:05

用于协调手臂和运动控制的尖峰神经网络架构

Spiking Neural Networks (SNNs) coupled with neuromorphic hardware offer energy-efficient solutions for humanoid robot control. However, existing SNN-based motor control systems address bipedal locomotion and arm control in isolation, leaving integrated control of both unaddressed…