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Related papers: NeuroTac: A Neuromorphic Optical Tactile Sensor ap…

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Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and…

Tactile sensing represents a crucial technique that can enhance the performance of robotic manipulators in various tasks. This work presents a novel bioinspired neuromorphic vision-based tactile sensor that uses an event-based camera to…

Robotics · Computer Science 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

Tactile sensing in biological organisms is deeply intertwined with morphological form, such as human fingers, cat paws, and elephant trunks, which enables rich and adaptive interactions through a variety of geometrically complex structures.…

We propose a neuromorphic tactile sensing framework for robotic texture classification that is inspired by human exploratory strategies. Our system utilizes the NeuroTac sensor to capture neuromorphic tactile data during a series of…

Robotics · Computer Science 2025-09-19 Xingchen Xu , Ao Li , Benjamin Ward-Cherrier

Reproducing the capabilities of the human sense of touch in machines is an important step in enabling robot manipulation to have the ease of human dexterity. A combination of robotic technologies will be needed, including soft robotics,…

Robotics · Computer Science 2021-07-23 Nathan F. Lepora

This work presents NeuroTouch, an optical-based tactile sensor that combines a highly deformable dome-shaped soft material with an integrated neuromorphic camera, leveraging frame-based and dynamic vision for gesture detection. Our approach…

Human-Computer Interaction · Computer Science 2025-02-03 Victor Hoffmann , Federico Paredes-Valles , Valentina Cavinato

Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck the right balance of anthropomorphic sizes and shapes and…

The tactile sensing capabilities of human hands are essential in performing daily activities. Simultaneously perceiving normal and shear forces via the mechanoreceptors integrated into the hands enables humans to achieve daily tasks like…

Robotics · Computer Science 2022-06-20 Zeyu Lu , Xingyu Gao , Haoyong Yu

Tactile sensing is significant for robotics since it can obtain physical contact information during manipulation. To capture multimodal contact information within a compact framework, we designed a novel sensor called ViTacTip, which…

Robotics · Computer Science 2024-02-02 Wen Fan , Haoran Li , Weiyong Si , Shan Luo , Nathan Lepora , Dandan Zhang

Combining 3D vision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occur can be…

Robotics · Computer Science 2023-03-14 Etienne Roberge , Guillaume Fornes , Jean-Philippe Roberge

Tactile perception is essential for human interaction with the environment and is becoming increasingly crucial in robotics. Tactile sensors like the BioTac mimic human fingertips and provide detailed interaction data. Despite its utility…

Robotics · Computer Science 2024-10-21 Wadhah Zai El Amri , Malte Kuhlmann , Nicolás Navarro-Guerrero

Tactile sensing typically involves active exploration of unknown surfaces and objects, making it especially effective at processing the characteristics of materials and textures. A key property extracted by human tactile perception is…

In the human hand, high-density contact information provided by afferent neurons is essential for many human grasping and manipulation capabilities. In contrast, robotic tactile sensors, including the state-of-the-art SynTouch BioTac, are…

Robotics · Computer Science 2021-01-15 Yashraj S. Narang , Balakumar Sundaralingam , Karl Van Wyk , Arsalan Mousavian , Dieter Fox

This work contributes an event-driven visual-tactile perception system, comprising a novel biologically-inspired tactile sensor and multi-modal spike-based learning. Our neuromorphic fingertip tactile sensor, NeuTouch, scales well with the…

Robot touch can benefit from how humans perceive tactile textural information, from the stimulation mode to which tactile channels respond, then the tactile cues and encoding. Using a soft biomimetic tactile sensor (the TacTip) based on the…

Robotics · Computer Science 2022-04-07 Nicholas Pestell , Nathan F. Lepora

Deep learning has the potential to have the impact on robot touch that it has had on robot vision. Optical tactile sensors act as a bridge between the subjects by allowing techniques from vision to be applied to touch. In this paper, we…

Robotics · Computer Science 2020-12-07 Nathan F. Lepora , Alex Church , Conrad De Kerckhove , Raia Hadsell , John Lloyd

Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

In humans, the tactile perception of fine textures (spatial scale <200 micrometers) is mediated by skin vibrations generated as the finger scans the surface. To establish the relationship between texture characteristics and subcutaneous…

Medical Physics · Physics 2009-11-26 J. Scheibert , S. Leurent , A. Prevost , G. Debrégeas

High-speed event-driven tactile sensors are essential for achieving human-like dynamic manipulation, yet their integration is often limited by the bulkiness of standard event cameras. This paper presents SpikingTac, a miniaturized, highly…

Robotics · Computer Science 2026-03-02 Tianyu Jiang , Chaofan Zhang , Shaolin Zhang , Shaowei Cui , Shuo Wang

The human somatosensory system integrates multimodal sensory feedback, including tactile, proprioceptive, and thermal signals, to enable comprehensive perception and effective interaction with the environment. Inspired by the biological…

Robotics · Computer Science 2025-09-03 Fengyi Wang , Xiangyu Fu , Nitish Thakor , Gordon Cheng
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