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While tactile sensing is widely accepted as an important and useful sensing modality, its use pales in comparison to other sensory modalities like vision and proprioception. AnySkin addresses the critical challenges that impede the use of…

Scaling tactile sensing for robust whole-body manipulation is a significant challenge, often limited by wiring complexity, data throughput, and system reliability. This paper presents a complete architecture designed to overcome these…

Robotics · Computer Science 2025-08-29 Curtis C. Johnson , Daniel Webb , David Hill , Marc D. Killpack

Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials. However, their widespread adoption is impaired by concerns about data efficiency and the capability to generalize…

Robotics · Computer Science 2020-03-06 Carmelo Sferrazza , Thomas Bi , Raffaello D'Andrea

The development of smart polymer materials is reviewed and illustrated. Important examples of these polymers include conducting polymers, ionic gels, stimulus-response be used polymers, liquid crystalline polymers and piezoelectric…

Robots which interact with the physical world will benefit from a fine-grained tactile understanding of objects and surfaces. Additionally, for certain tasks, robots may need to know the haptic properties of an object before touching it. To…

Robotics · Computer Science 2016-04-13 Yang Gao , Lisa Anne Hendricks , Katherine J. Kuchenbecker , Trevor Darrell

In this paper, we present the design and benchmark of an innovative sensor, ViTacTip, which fulfills the demand for advanced multi-modal sensing in a compact design. A notable feature of ViTacTip is its transparent skin, which incorporates…

Robotics · Computer Science 2025-01-07 Dandan Zhang , Wen Fan , Jialin Lin , Haoran Li , Qingzheng Cong , Weiru Liu , Nathan F. Lepora , Shan Luo

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…

The human body is punctuated with wide array of sensory systems that provide a high evolutionary advantage by facilitating formation of a detailed picture of the immediate surroundings. The sensors range across a wide spectrum, acquiring…

Flexible pressure sensors are an attractive area of research due to their potential applications in biomedical sensing and wearable devices. Among flexible and wearable pressure sensors, capacitive pressure sensors show significant…

Applied Physics · Physics 2021-11-12 Lekshmi A. Kurup , Cameron M. Cole , Joshua N. Arthur , Soniya D. Yambem

Many-legged elongated robots show promise for reliable mobility on rugged landscapes. However, most studies on these systems focus on planar motion planning without addressing rapid vertical motion. Despite their success on mild rugged…

Robotics · Computer Science 2025-04-22 Juntao He , Baxi Chong , Massimiliano Iaschi , Vincent R. Nienhusser , Sehoon Ha , Daniel I. Goldman

Touch sensing, as a major human/machine interface, is widely used in various commercial products such as smart watches, mobile phones, tablets and TVs. State-of-the-art touch detections are mainly based on mutual capacitive sensing, which…

Emerging Technologies · Computer Science 2017-01-04 Li Du

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…

Increasing the performance of tactile sensing in robots enables versatile, in-hand manipulation. Vision-based tactile sensors have been widely used as rich tactile feedback has been shown to be correlated with increased performance in…

Robotics · Computer Science 2022-03-10 Won Kyung Do , Monroe Kennedy

Robot skill acquisition processes driven by reinforcement learning often rely on simulations to efficiently generate large-scale interaction data. However, the absence of simulation models for tactile sensors has hindered the use of tactile…

Robotics · Computer Science 2025-09-15 Xiyan Huang , Zhe Xu , Chenxi Xiao

Modular soft robots combine the strengths of two traditionally separate areas of robotics. As modular robots, they can show robustness to individual failure and reconfigurability; as soft robots, they can deform and undergo large shape…

Robotics · Computer Science 2021-01-29 D. S. Drew , M. Devlin , E. Hawkes , S. Follmer

Tactile sensation is essential for humans to recognize objects. Various devices have been developed in the past for tactile presentation by electrostatic force, which are easy to configure devices, but there is currently no such device that…

Human-Computer Interaction · Computer Science 2024-10-08 Naoto Takayanagi , Naoji Matsuhisa , Yuki Hashimoto , Yuta Sugiura

Tactile sensing is crucial in robotics and wearable devices for safe perception and interaction with the environment. Optical tactile sensors have emerged as promising solutions, as they are immune to electromagnetic interference and have…

The tactile sensation of clothing is critical to wearer comfort. To reveal physical properties that make clothing comfortable, systematic collection of tactile data during sliding motion is required. We propose a robotic arm-based system…

Robotics · Computer Science 2025-11-18 Michikuni Eguchi , Takekazu Kitagishi , Yuichi Hiroi , Takefumi Hiraki

This paper presents a novel six-axis force/torque (F/T) sensor based on inductive sensing technology. Unlike conventional strain gauge-based sensors that require direct contact and external amplification, the proposed sensor utilizes…

Robotics · Computer Science 2025-05-15 Hyun-Bin Kim , Kyung-Soo Kim

Soft robotic grippers demonstrate great potential for gently and safely handling objects; however, their full potential for executing precise and secure grasping has been limited by the lack of integrated sensors, leading to problems such…

Robotics · Computer Science 2025-02-07 Wenjie Lai , Huu Duoc Nguyen , Jiajun Liu , Xingyu Chen , Soo Jay Phee
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