A MEMS-based Force Sensor: Packaging and Proprioceptive Force Recognition through Vibro-Haptic Feedback for Catheters

2022 ◽  
pp. 1-1
Author(s):  
V S N Sitaramgupta V. ◽  
Tushar Sakorikar ◽  
Hardik J. Pandya
Keyword(s):  
Haptic Feedback ◽  
Force Sensor

scholarly journals Experimental Evaluation on Haptic Feedback Accuracy by Using Two Self-Made Haptic Devices and One Additional Interface in Robotic Teleoperation

Actuators ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Guan-Yang Liu ◽  
Yi Wang ◽  
Chao Huang ◽  
Chen Guan ◽  
Dong-Tao Ma ◽  
...  
Keyword(s):  
Experimental Evaluation ◽  
Haptic Feedback ◽  
Force Sensor ◽  
Interaction Force ◽  
Haptic Device ◽  
Human Hand ◽  
Haptic Devices ◽  
Input Noise ◽  
Output Force ◽  
Robotic Teleoperation

The goal of haptic feedback in robotic teleoperation is to enable users to accurately feel the interaction force measured at the slave side and precisely understand what is happening in the slave environment. The accuracy of the feedback force describing the error between the actual feedback force felt by a user at the master side and the measured interaction force at the slave side is the key performance indicator for haptic display in robotic teleoperation. In this paper, we evaluate the haptic feedback accuracy in robotic teleoperation via experimental method. A special interface iHandle and two haptic devices, iGrasp-T and iGrasp-R, designed for robotic teleoperation are developed for experimental evaluation. The device iHandle integrates a high-performance force sensor and a micro attitude and heading reference system which can be used to identify human upper limb motor abilities, such as posture maintenance and force application. When a user is asked to grasp the iHandle and maintain a fixed position and posture, the fluctuation value of hand posture is measured to be between 2 and 8 degrees. Based on the experimental results, human hand tremble as input noise sensed by the haptic device is found to be a major reason that results in the noise of output force from haptic device if the spring-damping model is used to render feedback force. Therefore, haptic rendering algorithms should be independent of hand motion information to avoid input noise from human hand to the haptic control loop in teleoperation. Moreover, the iHandle can be fixed at the end effector of haptic devices; iGrasp-T or iGrasp-R, to measure the output force/torque from iGrasp-T or iGrasp-Rand to the user. Experimental results show that the accuracy of the output force from haptic device iGrasp-T is approximately 0.92 N, and using the force sensor in the iHandle can compensate for the output force inaccuracy of device iGrasp-T to 0.1 N. Using a force sensor as the feedback link to form a closed-loop feedback force control system is an effective way to improve the accuracy of feedback force and guarantee high-fidelity of feedback forces at the master side in robotic teleoperation.

Miniaturized Cutting Tool With Triaxial Force Sensing Capabilities for Minimally Invasive Surgery

2007 ◽  
Vol 1 (3) ◽  
pp. 206-211 ◽  
Author(s):  
Pietro Valdastri ◽  
Keith Houston ◽  
Arianna Menciassi ◽  
Paolo Dario ◽  
Arne Sieber ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Cutting Tool ◽  
Haptic Feedback ◽  
Ex Vivo ◽  
Force Sensor ◽  
Outer Diameter ◽  
Muscular Tissue ◽  
Force Output ◽  
Force Range ◽  
Minimally Invasive Robotic Surgery

This paper reports a miniaturized triaxial force sensorized cutting tool for minimally invasive robotic surgery. This device exploits a silicon-based microelectromechanical system triaxial force sensor that acts as the core component of the system. The outer diameter of the proposed device is less than 3mm, thus enabling the insertion through a 9 French catheter guide. Characterization tests are performed for both normal and tangential loadings. A linear transformation relating the sensor output to the external applied force is introduced in order to have a triaxial force output in real time. Normal force resolution is 8.2bits over a force range between 0N and 30N, while tangential resolution is 7 bits over a range of 5N. Force signals with frequencies up to 250Hz can successfully be detected, enabling haptic feedback and tissue mechanical properties investigation. Preliminary ex vivo muscular tissue cutting experiments are introduced and discussed in order to evaluate the device overall performances.

scholarly journals Haptic Glove Using Tendon-Driven Soft Robotic Mechanism

2020 ◽  
Vol 8 ◽  
Author(s):  
Siyeon Baik ◽  
Shinsuk Park ◽  
Jaeyoung Park
Keyword(s):  
Haptic Feedback ◽  
Human Perception ◽  
Force Sensor ◽  
Experimental Result ◽  
Force Distribution ◽  
Distribution Method ◽  
Force Perception ◽  
Cutaneous Feedback ◽  
Significant Difference ◽  
Kinesthetic Feedback

Recent advancements in virtual reality and augmented reality call for light-weight and compliant haptic interfaces to maximize the task-performance interactivity with the virtual or extended environment. Noting this, we propose a haptic glove using a tendon-driven compliant robotic mechanism. Our proposed interface can provide haptic feedback to two fingers of a user, an index finger and a thumb. It can provide both cutaneous and kinesthetic feedback to the fingers by using the tendon-driven system. Each actuator is paired with a force sensor to exert the desired tension accurately. In order to optimize the perception of the kinesthetic feedback, we propose a perception-based kinesthetic feedback distribution strategy. We experimentally measured the force perception weight for peripheral interphalangeal (PIP) and metacarpophalangeal (MCP) joints. We observed no significant difference in the force perception between the two joints. Then, based on the obtained weights, our proposed force distribution method calculates the force for each joint. We also evaluated the effect of additional cutaneous feedback to the kinesthetic feedback, on the force perception at the fingertip. The experimental result has shown that additional cutaneous feedback has significantly increased the sensitivity of the human perception. Finally, we evaluated our proposed system and force distribution algorithm by conducting a human subject test. The experimental result indicates that the availability of the cutaneous feedback significantly improved the perceived realism and acuity of the contact force.

Miniaturised Cutting Tool With Triaxial Force Sensing Capabilities for Minimally Invasive Surgery

2006 ◽  
Author(s):  
Pietro Valdastri ◽  
Keith Houston ◽  
Arianna Menciassi ◽  
Paolo Dario ◽  
Arne Sieber ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Cutting Tool ◽  
Haptic Feedback ◽  
Ex Vivo ◽  
Force Sensor ◽  
Outer Diameter ◽  
Muscular Tissue ◽  
Force Output ◽  
Force Range ◽  
Minimally Invasive Robotic Surgery

This paper reports a miniaturised triaxial force sensorized cutting tool for minimally invasive robotic surgery. This device exploits a silicon based MEMS triaxial force sensor that acts as the core component of the system. The outer diameter of the proposed device is less than 3 mm, thus enabling the insertion through a 9 French catheter guide. Characterization tests are performed for both normal and tangential loadings. A linear transformation relating the sensor output to the external applied force is introduced in order to have a triaxial force output in real time. Normal force resolution is 8.2 bits over a force range between 0 N and 30 N, while tangential resolution is 8.1 over a range of 6 N. Force signals with frequencies up to 250 Hz can successfully be detected, enabling haptic feedback and tissue mechanical properties investigation. Preliminary ex vivo muscular tissue cutting experiments are introduced and discussed in order to evaluate the device overall performances.

Design of a Robotic Endoscope for Mini Invasive Surgery

2011 ◽  
Author(s):  
Cynthia C. Zazzarini ◽  
Alberto Pansini ◽  
Pietro Cerveri ◽  
Renzo Zaltieri ◽  
Damiano Lavizzari
Keyword(s):  
Haptic Feedback ◽  
Variable Stiffness ◽  
Force Sensor ◽  
Axial Rotation ◽  
The Body ◽  
High Definition ◽  
Brushless Dc ◽  
Longitudinal Bending ◽  
Robotic Endoscope ◽  
Diagnostic Applications

Natural orifice transluminal endoscopic surgery (NOTES) is a novel surgical technique which uses endoscopic tools to perform mini invasive abdominal operations through natural orifices. The main limitation for a secure use of this technique is the lack of a proper surgical device, since it is still performed by non rigid endoscopes designed for diagnostic applications. Robot Assisted Surgery is the ideal solution to perform this kind of surgical operations. This research project is a preliminary study for the design of an endoscope, with variable stiffness in effort to provide the surgeons with a device which meets specific clinical requirements. The body is composed of a series of robotic modules connected by joints capable of two different movements: an axial rotation and a longitudinal bending. The movements are servo commanded and carried out by two brushless DC electric motors and an encoder. A force sensor is mounted on each module in order to provide a haptic feedback to the surgeon. The end point of the robot is equipped with a high definition camera which is able to perform zoom, autofocus and image stabilization. Illumination is provided by a power led system. A CAN bus ensures the communication between the modules, the camera and the haptic interface.

A Lyapunov Stable Controller for Bilateral Haptic Teleoperation of Single-Rod Hydraulic Actuators

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Vikram Banthia ◽  
Kourosh Zareinia ◽  
Subramaniam Balakrishnan ◽  
Nariman Sepehri
Keyword(s):  
Direct Measurement ◽  
Haptic Feedback ◽  
Force Sensor ◽  
Interaction Force ◽  
Task Environment ◽  
Hydraulic Actuator ◽  
Hydraulic Manipulators ◽  
Position Errors ◽  
Control Scheme ◽  
Stable Control

A Lyapunov stable control scheme is designed and implemented for bilateral haptic teleoperation of a single-rod hydraulic actuator. The proposed controller is capable of reducing position errors at master and slave sides, as well as perceiving the interaction force between the actuator and the task environment without a need for direct measurement of force. The controller only requires the actuator's line pressures and displacements of the master and slave. Stability of the proposed controller incorporating hydraulic nonlinearities and operator dynamics is analytically proven. Simulation studies demonstrate that the proposed system can reach an equilibrium point while interacting with an environment exhibiting stiffness. Experimental results confirm that the controller is able to effectively maintain stability, while having good position tracking by the hydraulic actuator as well as perceiving the contact force between the actuator and the task environment without direct measurement. This kind of haptic feedback force is a suitable choice for applications where mounting a force sensor at the end-effector is not feasible, such as excavators and backhoes. This work contributes to enhancing the operator's ability to perform stable haptic-enabled teleoperation of hydraulic manipulators.

scholarly journals Improved Haptic Transparency of Bilateral Control Using Torque-Measured Magnetic Coupling

Machines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 172
Author(s):  
Trieu-Khang Tu ◽  
I-Haur Tsai ◽  
Jia-Yush Yen ◽  
Tsu-Chin Tsao ◽  
Mi-Ching Tsai
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Haptic Feedback ◽  
Driving Simulator ◽  
Magnetic Coupling ◽  
Force Sensor ◽  
Steering Wheel ◽  
Bilateral Control ◽  
Mechanical Spring ◽  
Reaction Torque

The integrity and transparency of a haptic feedback in a bilateral control is crucial for precise and accurate operators’ sensation during human–machine interactions. Conventional master and slave bilateral control systems are often subject to unknown or unwanted disturbances and dynamics in the actuators and powertrain linkages that hamper the haptic feedback integrity and transparency. Force sensor torque sensing and feedback control are required to mitigate these effects. In contrast to the conventional approach of introducing torque sensing using a mechanical spring, this paper introduces a magnetic coupling as a torque sensor to detect reaction torque between the human input and the master actuator. Disturbance observer-based torque feedback control is designed to suppress the disturbances and tailor the haptic transparency dynamics. Experimental results on a virtual reality interaction system, which involves the steering wheel bilateral control in a cyber-physical driving simulator system, demonstrate the feasibility and effectiveness of the proposed method with improved haptic integrity and transparency.

Tire Rolling Kinematics Model for an Intelligent Tire Based on an Accelerometer

2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei
Keyword(s):  
Elastic Deformation ◽  
Estimation Algorithm ◽  
Force Sensor ◽  
Euler Method ◽  
Rolling Contact ◽  
Body Motion ◽  
Identification Algorithm ◽  
Active Perception ◽  
Kinematics Model ◽  
Ring Model

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.

Piezoelectric Mount Force Sensor of Placement System for Surface Mount Devices.

1997 ◽  
Vol 63 (5) ◽  
pp. 664-668 ◽  
Author(s):  
Daizo TAKAOKA ◽  
Akira SAKAGUCHI ◽  
Yoshitoshi MORITA ◽  
Makoto YAMADA ◽  
Tomomi YAMAGUCHI
Keyword(s):  
Force Sensor ◽  
Surface Mount
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