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We want to enable fine manipulation with a multi-fingered robotic hand by using modern deep reinforcement learning methods. Key for fine manipulation is a spatially resolved tactile sensor. Here, we present a novel model of a tactile skin…

Robotics · Computer Science 2024-09-20 Ulf Kasolowsky , Berthold Bäuml

Scanning large-scale surfaces is widely demanded in surface reconstruction applications and detecting defects in industries' quality control and maintenance stages. Traditional vision-based tactile sensors have shown promising performance…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Mohammad Amin Mirzaee , Hung-Jui Huang , Wenzhen Yuan

Research on tactile sensing has been progressing at constant pace. In robotics, tactile sensing is typically studied in the context of object grasping and manipulation. In this domain, the development of robust, multi-modal, tactile sensors…

Robotics · Computer Science 2022-06-29 Lorenzo Natale , Giorgio Cannata

The images captured by vision-based tactile sensors carry information about high-resolution tactile fields, such as the distribution of the contact forces applied to their soft sensing surface. However, extracting the information encoded in…

Robotics · Computer Science 2021-10-01 Carmelo Sferrazza , Raffaello D'Andrea

A GelSight sensor uses an elastomeric slab covered with a reflective membrane to measure tactile signals. It measures the 3D geometry and contact force information with high spacial resolution, and successfully helped many challenging robot…

Robotics · Computer Science 2018-03-01 Siyuan Dong , Wenzhen Yuan , Edward Adelson

Soft robotics is an emerging field that yields promising results for tasks that require safe and robust interactions with the environment or with humans, such as grasping, manipulation, and human-robot interaction. Soft robots rely on…

Robotics · Computer Science 2021-11-19 Tessa J. Pannen , Steffen Puhlmann , Oliver Brock

With the development of robot electronic skin technology, various tactile sensors, enhanced by AI, are unlocking a new dimension of perception for robots. In this work, we explore how robots equipped with electronic skin can recognize…

Robotics · Computer Science 2025-06-24 Shuo Jiang , Boce Hu , Linfeng Zhao , Lawson L. S. Wong

Robotic palpation relies on force sensing, but force signals in soft-tissue environments are variable and cannot reliably reveal subtle subsurface features. We present a compact multimodal sensor that integrates high-resolution vision-based…

Panoptic segmentation is a key enabler for robotic perception, as it unifies semantic understanding with object-level reasoning. However, the increasing complexity of state-of-the-art models makes them unsuitable for deployment on…

Robotics · Computer Science 2026-05-19 Calvin Galagain , Martyna Poreba , François Goulette , Cyrill Stachniss

Mimicking the perceptual functions of human cutaneous mechanoreceptors, artificial skins or flexible pressure sensors can transduce tactile stimuli to quantitative electrical signals. Conventional methods to design such devices follow a…

Detection of slip during object grasping and manipulation plays a vital role in object handling. Existing solutions primarily rely on visual information to devise a strategy for grasping. However, for robotic systems to attain a level of…

Collaborative robots stand to have an immense impact on both human welfare in domestic service applications and industrial superiority in advanced manufacturing with dexterous assembly. The outstanding challenge is providing robotic…

Robotics · Computer Science 2023-03-07 Won Kyung Do , Bianca Jurewicz , Monroe Kennedy

Haptic feedback is integral to the improved experience of prosthetic users and the reduction in prosthesis rejection. Prior studies have explored various methods to encode tactile information and deliver vibration feedback. However, a…

Human-Computer Interaction · Computer Science 2025-02-20 Yanisa Angkanapiwat , Ariel Slepyan , Rebecca J. Greene , Nitish Thakor

Deformable object manipulation is a classical and challenging research area in robotics. Compared with rigid object manipulation, this problem is more complex due to the deformation properties including elastic, plastic, and elastoplastic…

While tactile sensor technology has made great strides over the past decades, applications in robotic manipulation are limited by aspects such as blind spots, difficult integration into hands, and low spatial resolution. We present a method…

Robotics · Computer Science 2018-02-27 Pedro Piacenza , Sydney Sherman , Matei Ciocarlie

The use of data-driven techniques for tactile data processing and classification has recently increased. However, collecting tactile data is a time-expensive and sensor-specific procedure. Indeed, due to the lack of hardware standards in…

Robotics · Computer Science 2024-11-05 Francesco Grella , Alessandro Albini , Giorgio Cannata , Perla Maiolino

We present thermopneumatic pixels (TPPs), which are tactile actuators designed for rapid fabrication and straightforward integration into compact wearable and surface-based haptic systems. Each TPP converts low-voltage ($\sim$10 V)…

Human-Computer Interaction · Computer Science 2026-03-18 Max Linnander , Yon Visell

Single-pixel imaging (SPI) is a novel optical imaging technique by replacing a two-dimensional pixelated sensor with a single-pixel detector and pattern illuminations. SPI have been extensively used for various tasks related to image…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Shuming Jiao , Jiaxiang Li , Wei Huang , Zibang Zhang

This paper proposes a novel framework for utilizing skin sensors as a new operation interface of complex robots. The skin sensors employed in this study possess the capability to quantify multimodal tactile information at multiple contact…

This paper presents a novel vision-based proprioception approach for a soft robotic finger that can estimate and reconstruct tactile interactions in both terrestrial and aquatic environments. The key to this system lies in the finger's…

Robotics · Computer Science 2024-07-23 Ning Guo , Xudong Han , Shuqiao Zhong , Zhiyuan Zhou , Jian Lin , Jian S. Dai , Fang Wan , Chaoyang Song