The Next Evolution of Artificial Sense of Touch
We propose the next evolution of the artificial sense of touch, including an in-depth examination of the latest advancements in tactile sensing technology and the challenges that remain. We delve into the forefront of DNA and nanomaterials that enable the design of functionalized nanostructures in combination with the advantages of auto-assembly mechanisms. We evaluate the impact those technologies have on the challenges still faced in tactile sensing technology, including self-healing mechanisms, self-adaption, multi-modal, stretchable sensor structures, neuromorphic signal transmission, and scalable manufacturing. To conclude, this evolving technology has the potential to redefine the artificial sense of touch, offering mechanisms that enable advanced artificial somatosensory systems that equal or surpass human capabilities.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Digitizing Touch with an Artificial Multimodal Fingertip
Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using touch to perceive and interact with the…
ARCTowards Artificial Nerves: Biomimetic Optical-Fiber Tactile Sensing for Robots
Robotic systems increasingly demand tactile sensing that approaches the adaptability and resolution of human skin to enable dexterous manipulation and safe interaction. OptiTac is a biomimetic tactile sensor that emulate…
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting
We propose a framework for active next best view and touch selection for robotic manipulators using 3D Gaussian Splatting (3DGS). 3DGS is emerging as a useful explicit 3D scene representation for robotics, as it has the …
3DGSZero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach
Industry 4.0-enabled smart factory is expected to realize the next revolution for manufacturers. Although artificial intelligence (AI) technologies have improved productivity, current use cases belong to small-scale and …
BIG-bench Machine LearningMaking Sense of Touch from the Child's View for Contrastive Learning
Is the sense of touch a mechanism for human babies' learning of visual concepts? If so, can we quantify its importance, and to what extent do babies rely on their sense of touch for visual learning? To approach these que…
Contrastive Learning