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English(EN) Dexter Shepherd is a Postdoctoral researcher at the University of Sussex, exploring bio-inspired tactile sensing and robot locomotion. His work combines embedde

研究员开发具有受生物启发的触觉传感以实现运动的机器人

作者 PulseAugur 编辑部 · [2 个来源] ·

苏塞克斯大学的研究员 Dexter Shepherd 正在开发具有先进触觉传感能力的机器人。他的工作侧重于受生物启发的脚垫，使机器人能够预测其 3D 位置并适应其运动。Shepherd 的研究整合了人工智能、时空模型和强化学习，以增强机器人纹理分类和自我定向能力。 AI

影响 通过受生物启发的 AI 系统增强机器人的适应性和空间感知能力。

排序理由 关于用于机器人运动的受生物启发的触觉传感的研究。

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研究员开发具有受生物启发的触觉传感以实现运动的机器人

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关于用于机器人运动的受生物启发的触觉传感的研究。
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报道来源 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · RobotTalkPod ·

    Here's a robot that uses touch-sensitive pads in the foot to predict it’s 3D position, which Dexter worked on. Find out more by listening to Episode 169 of Robo

    Here's a robot that uses touch-sensitive pads in the foot to predict it’s 3D position, which Dexter worked on. Find out more by listening to Episode 169 of Robot Talk - available on all major podcast providers: https:// linktr.ee/robottalkpod # Robots # Robotics # BioInspired # A…

    链接 linktr.ee/robottalkpod
  2. Mastodon — mastodon.social TIER_1 English(EN) · RobotTalkPod ·

    Dexter Shepherd is a Postdoctoral researcher at the University of Sussex, exploring bio-inspired tactile sensing and robot locomotion. His work combines embedde

    Dexter Shepherd is a Postdoctoral researcher at the University of Sussex, exploring bio-inspired tactile sensing and robot locomotion. His work combines embedded AI systems, spatial-temporal models, and reinforcement learning to enable robots to classify textures, orient themselv…

    链接 robottalk.org/…/episode-169-dexter-shephe…

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