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This work presents a method of incorporating low-cost capacitive tactile sensors on a soft socially assistive robot platform. By embedding conductive thread into the robot's crocheted exterior, we formed a set of low-cost, flexible…

Robotics · Computer Science 2024-09-26 Amy O'Connell , Bailey Cislowski , Heather Culbertson , Maja Matarić

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…

Humans are able to convey different messages using only touch. Equipping robots with the ability to understand social touch adds another modality in which humans and robots can communicate. In this paper, we present a social gesture…

Robotics · Computer Science 2025-03-24 Dakarai Crowder , Kojo Vandyck , Xiping Sun , James McCann , Wenzhen Yuan

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…

With the presence of robots increasing in the society, the need for interacting with robots is becoming necessary. The field of Human-Robot Interaction (HRI) has emerged important since more repetitive and tiresome jobs are being done by…

Robotics · Computer Science 2025-02-04 Rajashekhar V S , Gowdham Prabhakar

Motivated by the growing interest in enhancing intuitive physical Human-Machine Interaction (HRI/HVI), this study aims to propose a robust tactile hand gesture recognition system. We performed a comprehensive evaluation of different hand…

Human-Computer Interaction · Computer Science 2024-05-28 Chiara Fumelli , Anirvan Dutta , Mohsen Kaboli

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

As more robots are implemented for contact-rich tasks, tactile sensors are in increasing demand. For many circumstances, the contact is required to be compliant, and soft sensors are in need. This paper introduces a novelly designed soft…

Robotics · Computer Science 2021-05-18 Wu-Te Yang , Zhian Kuang , Changhao Wang , Masayoshi Tomizuka

Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine…

In this paper, a novel tactile sensing mechanism for soft robotic fingers is proposed. Inspired by the proprioception mechanism found in mammals, the proposed approach infers tactile information from a strain sensor attached on the finger's…

Robotics · Computer Science 2021-07-07 Chang Cheng , Yadong Yan , Mingjun Guan , Jianan Zhang , Yu Wang

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

The collaborative robot market is flourishing as there is a trend towards simplification, modularity, and increased flexibility on the production line. But when humans and robots are collaborating in a shared environment, the safety of…

We propose a new robotic cover prototype that achieves thermal display while also being soft. We focus on the thermal cue because previous human studies have identified it as part of the touch pleasantness. The robotic cover surface can be…

Human-Computer Interaction · Computer Science 2021-05-11 Yukiko Osawa , Abderrahmane Kheddar

Soft sensors that can discriminate shear and normal force could help provide machines the fine control desirable for safe and effective physical interactions with people. A capacitive sensor is made for this purpose, composed of patterned…

In this work, we report on the integrated sensorimotor control of the Pisa/IIT SoftHand, an anthropomorphic soft robot hand designed around the principle of adaptive synergies, with the BRL tactile fingertip (TacTip), a soft biomimetic…

Capacitive technology allows building sensors that are small, compact and have high sensitivity. For this reason it has been widely adopted in robotics. In a previous work we presented a compliant skin system based on capacitive technology…

Robotics · Computer Science 2021-06-30 Perla Maiolino , Marco Maggiali , Giorgio Cannata , Giorgio Metta , Lorenzo Natale

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Despite the advancement in robotic grasping and dexterity through haptic information, affective social touch, such as handshaking or reassuring stroking, remains a major challenge in Human-Robot-Interaction. This position paper examines…

Human-Computer Interaction · Computer Science 2026-05-05 Ali Askari , Jens Gerken

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

Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating…

Robotics · Computer Science 2025-09-18 Jana Egli , Benedek Forrai , Thomas Buchner , Jiangtao Su , Xiaodong Chen , Robert K. Katzschmann
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