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Tactile sensing can enable robots to perform complex, contact-rich tasks. Magnetic sensors offer accurate three-axis force measurements while using affordable materials. Calibrating such a sensor involves either manual data collection, or…

Robotics · Computer Science 2024-05-30 Lowiek Van den Stockt , Remko Proesmans , Francis wyffels

Mechanical force is an essential feature for many physical and biological processes.1-12 Remote measurement of mechanical signals with high sensitivity and spatial resolution is needed for diverse applications, including robotics,13…

Accurate shape sensing, only achievable through distributed proprioception, is a key requirement for closed-loop control of soft robots. Low-cost power efficient optoelectronic sensors manufactured from flexible materials represent a…

Robotics · Computer Science 2025-02-07 Ellis Capp , Marco Pontin , Peter Walters , Perla Maiolino

This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy. Direct CT guidance allows physicians to localize tumours…

Robotics · Computer Science 2022-03-18 Dimitri A. Schreiber , Daniel B. Shak , Alexander M. Norbash , Michael C. Yip

With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing…

Robotics · Computer Science 2021-11-22 Lukas Lindenroth , Danail Stoyanov , Kawal Rhode , Hongbin Liu

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

Mechanically characterizing the human-machine interface is essential to understanding user behavior and optimizing wearable robot performance. This interface has been challenging to sensorize due to manufacturing complexity and non-linear…

Robotics · Computer Science 2026-05-29 Noah Rubin , Ava Schraeder , Hrishikesh Sahu , Thomas C. Bulea , Lillian Chin

Purpose: We report what is to our knowledge the initial experience with a new 3-dimensional ultrasound robotic system for prostate brachytherapy assistance, focal therapy and prostate biopsies. Its ability to track prostate motion…

Purpose: Robotic assistance in otologic surgery can reduce the task load of operating surgeons during the removal of bone around the critical structures in the lateral skull base. However, safe deployment into the anatomical passageways…

This article presents the design and assembly of a novel magnetically actuated endoscopic laser scanner device. The device is designed to perform 2D position control and high speed scanning of a fiber-based laser for operation in narrow…

Robotics · Computer Science 2017-11-22 Alperen Acemoglu , Nikhil Deshpande , Leonardo S. Mattos

We present a minimally-invasive endoscope based on a multimode fiber that combines photoacoustic and fluorescence sensing. From the measurement of a transmission matrix during a prior calibration step, a focused spot is produced and…

Levitated optomechanics is showing potential for precise force measurements. Here, we report a case study, to show experimentally the capacity of such a force sensor. Using an electric field as a tool to detect a Coulomb force applied onto…

We present a novel application of Fiber Bragg Grating (FBG) sensors in the construction and characterisation of Micro Pattern Gaseous Detector (MPGD), with particular attention to the realisation of the largest triple (Gas electron…

Instrumentation and Detectors · Physics 2015-12-31 D. Abbaneo , M. Abbas , M. Abbrescia , A. A. Abdelalim , M. Abi Akl , O. Aboamer , D. Acosta , A. Ahmad , W. Ahmed , W. Ahmed , A. Aleksandrov , R. Aly , P. Altieri , C. Asawatangtrakuldee , P. Aspell , Y. Assran , I. Awan , S. Bally , Y. Ban , S. Banerjee , V. Barashko , P. Barria , G. Bencze , N. Beni , L. Benussi , V. Bhopatkar , S. Bianco , J. Bos , O. Bouhali , A. Braghieri , S. Braibant , S. Buontempo , C. Calabria , M. Caponero , C. Caputo , F. Cassese , A. Castaneda , S. Cauwenbergh , F. R. Cavallo , A. Celik , M. Choi , S. Choi , J. Christiansen , A. Cimmino , S. Colafranceschi , A. Colaleo , A. Conde Garcia , S. Czellar , M. M. Dabrowski , G. De Lentdecker , R. De Oliveira , G. de Robertis , S. Dildick , B. Dorney , W. Elmetenawee , G. Endroczi , F. Errico , A. Fenyvesi , S. Ferry , I. Furic , P. Giacomelli , V. Golovtsov , L. Guiducci , F. Guilloux , A. Gutierrez , R. M. Hadjiiska , A. Hassan , J. Hauser , K. Hoepfner , M. Hohlmann , H. Hoorani , P. Iaydjiev , Y. G. Jeng , T. Kamon , P. Karchin , A. Korytov , S. Krutelyov , A. Kumar , H. Kim , J. Lee , T. Lenzi , L. Litov , F. Loddo , A. Madorsky , T. Maerschalk , M. Maggi , A. Magnani , P. K. Mal , K. Mandal , A. Marchioro , A. Marinov , R. Masod , N. Majumdar , J. A. Merlin , G. Mitselmakher , A. K. Mohanty , S. Muhammad , A. Mohapatra , J. Molnar , S. Mukhopadhyay , M. Naimuddin , S. Nuzzo , E. Oliveri , L. M. Pant , P. Paolucci , I. Park , G. Passeggio , L. Passamonti , B. Pavlov , B. Philipps , D. Piccolo , D. Pierluigi , H. Postema , A. Puig Baranac , A. Radi , R. Radogna , G. Raffone , A. Ranieri , G. Rashevski , C. Riccardi , M. Rodozov , A. Rodrigues , L. Ropelewski , S. RoyChowdhury , A. Russo , G. Ryu , M. S. Ryu , A. Safonov , S. Salva , G. Saviano , A. Sharma , A. Sharma , R. Sharma , A. H. Shah , M. Shopova , J. Sturdy , G. Sultanov , S. K. Swain , Z. Szillasi , A. Tatarinov , T. Tuuva , M. Tytgat , I. Vai , M. Van Stenis , R. Venditti , E. Verhagen , P. Verwilligen , P. Vitulo , S. Volkov , A. Vorobyev , D. Wang , M. Wang , U. Yang , Y. Yang , R. Yonamine , N. Zaganidis , F. Zenoni , A. Zhang

Current methods for estimating force from tactile sensor signals are either inaccurate analytic models or task-specific learned models. In this paper, we explore learning a robust model that maps tactile sensor signals to force. We…

In this paper, we address force-aware control and force distribution in robotic platforms with multi-fingered hands. Given a target goal and force estimates from tactile sensors, we design a controller that adapts the motion of the torso,…

Robotics · Computer Science 2026-05-29 Pasquale Marra , Gabriele M. Caddeo , Ugo Pattacini , Lorenzo Natale

Tactile sensors have been used for force estimation in the past, especially Vision-Based Tactile Sensors (VBTS) have recently become a new trend due to their high spatial resolution and low cost. In this work, we have designed and…

Robotics · Computer Science 2024-10-31 Julio Castaño-Amoros , Pablo Gil

Grasp force estimation can help prevent robots from damaging delicate objects during manipulation and improve learning-based robotic control. Integrating force sensing into deformable grippers negotiates trade-offs in cost, complexity,…

Robotics · Computer Science 2026-05-04 Kaiwen Zuo , Shuyuan Yang , Zonghe Chua

In situ tissue biopsy with an endoluminal catheter is an efficient approach for disease diagnosis, featuring low invasiveness and few complications. However, the endoluminal catheter struggles to adjust the biopsy direction by distal…

Robotics · Computer Science 2025-06-04 Botao Lin , Tinghua Zhang , Sishen Yuan , Tiantian Wang , Jiaole Wang , Wu Yuan , Hongliang Ren

Wearable assistive devices are increasingly becoming softer. Modelling their interface with human tissue is necessary to capture transmission of dynamic assistance. However, their nonlinear and compliant nature makes both physical modeling…

In this paper, we propose an algorithm that estimates contact point and force simultaneously. We consider a collaborative robot equipped with proprioceptive sensors, in particular, joint torque sensors (JTSs) and a base force/torque (F/T)…

Robotics · Computer Science 2023-07-11 Seo Wook Han , Min Jun Kim
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