Highly Programmable Haptic Decoding and Self-Adaptive Spatiotemporal Feedback Toward Embodied Intelligence

Wansheng Lin

doi:10.1002/adfm.202500633

2025-04-14

PRE

Yuanjin Zheng (Yuanjin Zheng)

Xinqin Liao

DOI：10.1002/adfm.202500633

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摘要

En 中文

智能机器人，配备感知、认知和学习能力，正在改变复杂任务的解决方式，提升了自主性、效率和适应性。相比之下，传统机器人通常在抓取和识别等任务中因有限的传感和反馈机制而难以保证精度和可靠性。为达到高级应用，机器人需要复杂的时空反馈来动态调整其动作，这对压力解耦能力构成了重大挑战。在此，介绍了一种高性能的可编程、事件驱动的（PED）触觉接口，具有实时、自调节的时空反馈，使机器人能够实现动态抓取适应和力优化。该PED触觉接口具有梯度金字塔元表面类似结构，模拟人皮肤感知以解码触觉数据。与常规设备相比，PED触觉接口在检测范围和灵敏度方面分别提升了300%和350%。通过将先进的触觉传感和反馈技术与人工智能相结合，开发出一种概念化的智能体，能够自主理解非结构化环境，避免自损伤或物体损伤，无需外部干预。这一突破不仅开辟了新的研究方向，也显著推进了具身智能的研究基础，特别是在模拟人类感知和认知方面。

Keyword:

carbon nanotubes

functional structures

haptic sensors

human-robot interactions

tactile feedback

期刊

Advanced Functional Materials

IF:

论文数:

3.5W

被引数:

32.1W

机构

Audiowell Elect Zhaoqing Co Ltd

学者数:

论文数: 2

被引数: 3

Natl Univ Singapore

学者数:

3.1K

论文数: 1.9K

被引数: 924

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