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The growing adoption of extended reality (XR) has increased demand for wearable technologies that provide naturalistic tactile sensations while allowing users to interact freely with their environments using bare fingers. However, most…

Human-Computer Interaction · Computer Science 2026-05-29 Ana Sanz Cozcolluela , Koen Wosten , Yasemin Vardar

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

Robotic manipulation of highly deformable cloth presents a promising opportunity to assist people with several daily tasks, such as washing dishes; folding laundry; or dressing, bathing, and hygiene assistance for individuals with severe…

Robotics · Computer Science 2022-08-12 Yufei Wang , David Held , Zackory Erickson

Soft robotics is attractive for wearable applications that require conformal interactions with the human body. Soft wearable robotic garments hold promise for supplying dynamic compression or massage therapies, such as are applied for…

Advancing dexterous manipulation with multi-fingered robotic hands requires rich sensory capabilities, while existing designs lack onboard thermal and torque sensing. In this work, we propose the MOTIF hand, a novel multimodal and versatile…

Robotics · Computer Science 2025-06-25 Hanyang Zhou , Haozhe Lou , Wenhao Liu , Enyu Zhao , Yue Wang , Daniel Seita

This paper presents a bimanual haptic display based on collaborative robot arms. We address the limitations of existing robot arm-based haptic displays by optimizing the setup configuration and implementing inertia/friction compensation…

Robotics · Computer Science 2024-11-13 Joong-Ku Lee , Donghyeon Kim , Seong-Su Park , Jiye Lee , Jee-Hwan Ryu

Soft robotics has emerged as a versatile field with applications across various domains, from healthcare to industrial automation, and more recently, art and interactive installations. The inherent flexibility, adaptability, and safety of…

Whole-arm tactile feedback is crucial for robots to ensure safe physical interaction with their surroundings. This paper introduces CushSense, a fabric-based soft and stretchable tactile-sensing skin designed for physical human-robot…

Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems in industry and everyday life, alongside humans, as well as…

Tactile sensing plays a fundamental role in enabling robots to navigate dynamic and unstructured environments, particularly in applications such as delicate object manipulation, surface exploration, and human-robot interaction. In this…

Robotics · Computer Science 2025-09-18 Annan Zhang , Miguel Flores-Acton , Andy Yu , Anshul Gupta , Maggie Yao , Daniela Rus

Tactile perception is an essential ability of intelligent robots in interaction with their surrounding environments. This perception as an intermediate level acts between sensation and action and has to be defined properly to generate…

Robotics · Computer Science 2019-07-24 Masoud Baghbahari , Aman Behal

This paper presents a novel human-robot interaction (HRI) framework that enables intuitive gesture-driven control through a capacitance-based woven tactile skin. Unlike conventional interfaces that rely on panels or handheld devices, the…

Complex robotic tasks require human collaboration to benefit from their high dexterity. Frequent human-robot interaction is mentally demanding and time-consuming. Intuitive and easy-to-use robot control interfaces reduce the negative…

Human-Computer Interaction · Computer Science 2022-11-03 Sautenkov Oleg , Altamirano Cabrera Miguel , Rakhmatulin Viktor , Tsetserukou Dzmitry

Due to their ability to move without sliding relative to their environment, soft growing robots are attractive for deploying distributed sensor networks in confined spaces. Sensing of the state of such robots would also add to their…

The potential of Animal-Robot Interaction (ARI) in welfare applications depends on how much an animal perceives a robotic agent as socially relevant, non-threatening and potentially attractive (acceptance). Here, we present an…

Robotics · Computer Science 2026-04-10 Jue Chen , Alexander Mielke , Kaspar Althoefer , Elisabetta Versace

The most common sensing modalities found in a robot perception system are vision and touch, which together can provide global and highly localized data for manipulation. However, these sensing modalities often fail to adequately capture the…

Robotics · Computer Science 2022-04-20 Jessica Yin , Gregory M. Campbell , James Pikul , Mark Yim

Humans and robots can recognize materials with distinct thermal effusivities by making physical contact and observing temperatures during heat transfer. This works well with room temperature materials and humans and robots at human body…

Robotics · Computer Science 2020-12-04 Tapomayukh Bhattacharjee , Henry M. Clever , Joshua Wade , Charles C. Kemp

Robots built from soft materials will inherently apply lower environmental forces than their rigid counterparts, and therefore may be more suitable in sensitive settings with unintended contact. However, these robots' applied forces result…

Safe yet stable grasping requires a robotic hand to apply sufficient force on the object to immobilize it while keeping it from getting damaged. Soft robotic hands have been proposed for safe grasping due to their passive compliance, but…

Robotics · Computer Science 2021-01-26 Tran Nguyen Le , Jens Lundell , Ville Kyrki

Flexible robots have advantages over rigid robots in their ability to conform physically to their environment and to form a wide variety of shapes. Sensing the force applied by or to flexible robots is useful for both navigation and…

Robotics · Computer Science 2023-07-27 Michael R. Mitchell , Ciera McFarland , Margaret M. Coad