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This paper presents a novel multi-axis force-sensing approach in robotic minimally invasive surgery with no modification to the surgical instrument. Thus, it is adaptable to different surgical instruments. A novel 6-axis optical force…

Robotics · Computer Science 2024-01-29 A. H. Hadi-Hosseinabadi , S. E. Salcudean

We address the challenge of reliable and accurate proprioception in soft robots, specifically those with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have…

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

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…

Dexterous manipulation, especially of small daily objects, continues to pose complex challenges in robotics. This paper introduces the DenseTact-Mini, an optical tactile sensor with a soft, rounded, smooth gel surface and compact design…

Robotics · Computer Science 2023-09-19 Won Kyung Do , Ankush Kundan Dhawan , Mathilda Kitzmann , Monroe Kennedy

Laser triangulation sensors are widely used in industry for surface inspection due to simple setup, micron precision and low cost. Conventional laser triangulation methods only enable axial distance measurement limiting further…

Instrumentation and Detectors · Physics 2024-12-02 Hao Zhang , Shiji Wang

The images captured by vision-based tactile sensors carry information about high-resolution tactile fields, such as the distribution of the contact forces applied to their soft sensing surface. However, extracting the information encoded in…

Robotics · Computer Science 2021-10-01 Carmelo Sferrazza , Raffaello D'Andrea

Typical contact detection is based on the monitoring of a threshold value in the force and torque signals. The selection of a threshold is challenging for robots operating in unstructured or highly dynamic environments, such in a household…

Robotics · Computer Science 2020-12-04 Jaime Maldonado , Asil Kaan Bozcuoğlu , Christoph Zetzsche

Recent advances in soft robotic hands and tactile sensing have enabled both to perform an increasing number of complex tasks with the aid of machine learning. In particular, we presented the GelSight Baby Fin Ray in our previous work, which…

Robotics · Computer Science 2025-09-19 Sandra Q. Liu , Yuxiang Ma , Edward H. Adelson

We proposed a new type of tactile sensor that is capable of determining the surface morphology of skin lesions. The sensor consists of a brass cylinder with an axial bore. Three peripheral bobbins were machined in the cylinder around which…

The biological skin enables animals to sense various stimuli. Extensive efforts have been made recently to develop smart skin-like sensors to extend the capabilities of biological skins; however, simultaneous sensing of several types of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Sho Shimadera , Kei Kitagawa , Koyo Sagehashi , Tomoaki Niiyama , Satoshi Sunada

Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

To use robots in more unstructured environments, we have to accommodate for more complexities. Robotic systems need more awareness of the environment to adapt to uncertainty and variability. Although cameras have been predominantly used in…

Robotics · Computer Science 2025-06-23 Viral Rasik Galaiya

A force measurement technique has been developed that utilizes a clamped fiber optic element both as a cantilever and as a highly sensitive probe of the static and dynamic displacement of a sample that is mounted near its free end. Light…

Condensed Matter · Physics 2009-11-07 R. Budakian , S. J. Putterman

Vision-based learning from demonstrations has achieved remarkable success in enabling robots to perform manipulation tasks and high-level semantic reasoning, yet it remains insufficient for complex, contact-rich manipulation. While there is…

Vision-based tactile sensors have the potential to provide important contact geometry to localize the objective with visual occlusion. However, it is challenging to measure high-resolution 3D contact geometry for a compact robot finger, to…

Robotics · Computer Science 2021-06-17 Shaoxiong Wang , Yu She , Branden Romero , Edward Adelson

This paper presents a method for detecting and localizing contact along robot legs using distributed joint torque sensors and a single hip-mounted force-torque (FT) sensor using a generalized momentum-based observer framework. We designed a…

Robotics · Computer Science 2025-10-14 Jared Grinberg , Yanran Ding

Six axis force-torque sensors are commonly attached to the wrist of serial robots to measure the external forces and torques acting on the robot's end-effector. These measurements are used for load identification, contact detection, and…

Robotics · Computer Science 2024-03-05 Philippe Nadeau , Miguel Rogel Garcia , Emmett Wise , Jonathan Kelly

Three-dimensional shape sensing in soft and continuum robotics is a crucial aspect for stable actuation and control in fields such as Minimally Invasive surgery, as the estimation of complex curvatures while using continuum robotic tools is…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Dalia Osman , Xinli Du , Timothy Minton , Yohan Noh

The recent development of opto-mechano-fluidic resonators has provided -- by harnessing photon radiation pressure -- a new microfluidics platform for the optical sensing of fluid density and bulk modulus. Here we show that fluid viscosity…

Optics · Physics 2014-07-15 Kewen Han , Kaiyuan Zhu , Gaurav Bahl