English(EN) Learning Beyond Rigid Manipulation with Hybrid Soft-Rigid Robots

混合软硬机器人通过人工智能实现新的操作壮举

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了一种结合了刚性和软性组件的混合机器人，以实现增强的操作能力。这项在 arXiv 论文中详细介绍的新系统利用定制的模仿学习算法，来发挥其刚性精度和软性适应性的互补优势。该混合机器人能够熟练完成堆叠等传统任务，并能实现通过狭窄开口抓取物体等新颖行为。 AI

影响这项研究可能带来能够执行非结构化环境中复杂任务的更通用的机器人。

排序理由详细介绍新型机器人系统和学习算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.AI TIER_1 English(EN) · Mariano Ram\'irez Montero, Ebrahim Shahabi, Giovanni Franzese, Jens Kober, Barbara Mazzolai, Cosimo Della Santina · 2026-11-11 05:00

混合软硬机器人实现超越刚性操作的学习

arXiv:2410.07787v4 Announce Type: replace-cross Abstract: Rigid-soft robot hybrids promise to unite the precision and repeatability of rigid manipulators with the compliance and adaptability of soft structures. Yet, full-fledged rigid-soft manipulators remain largely unexplored, …