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Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope…

We present a novel under-actuated gripper with two 3-joint fingers, which realizes force feedback control by the deep learning technique- Long Short-Term Memory (LSTM) model, without any force sensor. First, a five-linkage mechanism stacked…

Robotics · Computer Science 2025-06-19 Jihao Li , Keqi Zhu , Guodong Lu , I-Ming Chen , Huixu Dong

If human experience is any guide, operating effectively in unstructured environments -- like homes and offices -- requires robots to sense the forces during physical interaction. Yet, the lack of a versatile, accessible, and easily…

Surgeon hand tremor limits human capability during microsurgical procedures such as those that treat the eye. In contrast, elimination of hand tremor through the introduction of microsurgical robots diminishes the surgeon's tactile…

Robotics · Computer Science 2019-01-11 Ali Ebrahimi , Changyan He , Niravkumar Patel , Marin Kobilarov , Peter Gehlbach , Iulian Iordachita

Camera-based tactile sensors provide robots with a high-performance tactile sensing approach for environment perception and dexterous manipulation. However, achieving comprehensive environmental perception still requires cooperation with…

Robotics · Computer Science 2025-04-15 Yueshi Dong , Jieji Ren , Zhenle Liu , Zhanxuan Peng , Zihao Yuan , Ningbin Zhang , Guoying Gu

Miniaturized mechanical resonators have proven to be excellent force sensors. However, they usually rely on resonant sensing schemes, and their excellent performance cannot be utilized for the detection of static forces. Here, we report on…

Instrumentation and Detectors · Physics 2018-08-15 Erik Hebestreit , Martin Frimmer , René Reimann , Lukas Novotny

Tendon-driven under-actuated robotic fingers provide advantages for dexterous manipulation through reduced actuator requirements and simplified mechanical design. However, achieving both high load capacity and adaptive compliance in a…

Robotics · Computer Science 2025-12-12 Quan Yuan , Zhenting Du , Daqian Cao , Weibang Bai

The safety and accuracy of robotic navigation hold paramount importance, especially in the realm of soft continuum robotics, where the limitations of traditional rigid sensors become evident. Encoders, piezoresistive, and potentiometer…

Robotics · Computer Science 2024-04-22 Eric Vincent Galeta , Ayman A. Nada , Sabah M. Ahmed , Victor Parque , Haitham El-Hussieny

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

Interatomic-force measurements are regularly performed using frequency-modulation atomic force microscopy. This requires conversion of the observed shift in the resonant frequency of a force-sensing cantilever, to the actual force…

Applied Physics · Physics 2020-12-02 John Elie Sader

Distinguishing the feel of smooth silk from coarse cotton is a trivial everyday task for humans. When exploring such fabrics, fingertip skin senses both spatio-temporal force patterns and texture-induced vibrations that are integrated to…

Existing grasp controllers usually either only support finger-tip grasps or need explicit configuration of the inner forces. We propose a novel grasp controller that supports arbitrary grasp types, including power grasps with…

Robotics · Computer Science 2024-09-20 Dominik Winkelbauer , Rudolph Triebel , Berthold Bäuml

Adaptation to external and internal changes is major for robotic systems in uncertain environments. Here we present a novel multisensory active inference torque controller for industrial arms that shows how prediction can be used to resolve…

Robotics · Computer Science 2021-12-14 Cristian Meo , Giovanni Franzese , Corrado Pezzato , Max Spahn , Pablo Lanillos

A shapeable planar Hall sensor has been fabricated by lift-off a bilayer structure of NiFe(10 nm)/IrMn (8 nm) grown on a Kapton/PDMS substrate without using a buffer layer. The sensor exhibits a magnetic field sensitivity of 0.74…

Applied Physics · Physics 2019-03-26 B. Özer , H. Pişkin , N. Akdoğan

Tendon-based underactuated hands are intended to be simple, compliant and affordable. Often, they are 3D printed and do not include tactile sensors. Hence, performing in-hand object recognition with direct touch sensing is not feasible.…

Robotics · Computer Science 2024-01-31 Julius Arolovitch , Osher Azulay , Avishai Sintov

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…

A multimode microcavity sensor based on a self-interference microring resonator is demonstrated experimentally. The proposed multimode sensing method is implemented by recording wideband transmission spectra that consist of multiple…

Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In this work, we equip the robot gripper with low-cost…

Robotics · Computer Science 2023-06-12 Michael C. Welle , Martina Lippi , Haofei Lu , Jens Lundell , Andrea Gasparri , Danica Kragic

Flexible needle insertion procedures are common for minimally-invasive surgeries for diagnosing and treating prostate cancer. Bevel-tip needles provide physicians the capability to steer the needle during long insertions to avoid vital…

Robot-assisted minimally invasive surgery, such as through the da Vinci systems, improves precision and patient outcomes. However, da Vinci systems prior to da Vinci 5, lacked direct force-sensing capabilities, forcing surgeons to operate…

Robotics · Computer Science 2025-02-05 Hao Yang , Ayberk Acar , Keshuai Xu , Anton Deguet , Peter Kazanzides , Jie Ying Wu
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