Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization DOI Creative Commons
Sri Harsha Turlapati, Van Pho Nguyen, Juhi Gurnani

и другие.

Sensors, Год журнала: 2024, Номер 24(23), С. 7465 - 7465

Опубликована: Ноя. 22, 2024

Although integrated joint torque sensors in robots dispel the need for external force/torque at wrist to measure interactions, an inherent challenge is that they also robot’s intrinsic dynamics. This especially problematic delicate robot manipulation tasks, where interaction forces may be comparable Therefore, dynamics must first experimentally estimated under no-load conditions, when measurement only consists of torques due transmission actuator, before interactions measured. In this work, we propose approach identifying and predicting using linear regression with non-linear radial basis functions. Then, validate on a wheel-bearing turning task, which its friction quality, thus accurately The results showed bearing measured by 7 sensor was within RMS error 11% sensor. much lower than our proposed model compensating arm.

Язык: Английский

Soft Robotic Honeycomb-Velcro Jamming Gripper Design DOI Creative Commons

Yu Cheng Chung,

Wai Tuck Chow, Van Pho Nguyen

и другие.

Actuators, Год журнала: 2024, Номер 13(9), С. 359 - 359

Опубликована: Сен. 16, 2024

In this paper, using a honeycomb-velcro structure to generate novel jamming gripper is explored. Each finger of the consists multi-layers with honeycomb sandwich acting as core wrapped by fabric sheet and sealed latex membrane. This can transit between unjammed (flexible) jammed (rigid) states thanks vacuum pressure. Various materials structure, fabric, reinforcements are investigated seek optimal combinations for making fingers. Then, such fingers deployed in experiments evaluate stiffness surface friction different loads terms or without vacuum. Vacuum pressure boosts all compared without-vacuum case. Attached gripper, shows good performance diverse manipulation food, metal component, toy, can, bottle. Furthermore, variable-stiffness under be utilized perform assembly installation operations pushing bolt into an aligned hole.

Язык: Английский

Процитировано

1

A Decoupling Module Based on a Geometrical-Balance Mechanism for Mitigating Cable Length Variation in Cable-Driven Applications DOI Creative Commons
Van Pho Nguyen, Sunil Bohra Dhyan, Wai Tuck Chow

и другие.

Machines, Год журнала: 2024, Номер 12(11), С. 755 - 755

Опубликована: Окт. 25, 2024

Cable-driven mechanisms are increasingly popular in applications requiring low-inertia operation. However, issues like cable loosening, which leads to reduced durability and stability with long-term use, have not been fully addressed previous studies. This paper presents a novel design for decoupling mechanism based on the geometrical-balance principle. The incorporates three pulleys—main, minor, guiding—mounted parallelogram structure. passes over these pulleys an elbow pulley constant tension, maintained through balance between pulleys’ radii cable’s thickness radius. A theoretical model was developed estimate deviations tension within this design, considering general geometric parameters friction coefficients. In experimental setup, main had radius of 15 mm, while guiding, 7 1 mm Dyneema used. results demonstrated that consistent length minimal deviation as two links rotated from small large angles. Furthermore, strong correlation estimates validation confirmed remained stable at both ends when integrated into original system. research improves cable-driven offering compact, accurate solution adaptable wide range applications, including robotics, machinery, other devices.

Язык: Английский

Процитировано

0

Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization DOI Creative Commons
Sri Harsha Turlapati, Van Pho Nguyen, Juhi Gurnani

и другие.

Sensors, Год журнала: 2024, Номер 24(23), С. 7465 - 7465

Опубликована: Ноя. 22, 2024

Although integrated joint torque sensors in robots dispel the need for external force/torque at wrist to measure interactions, an inherent challenge is that they also robot’s intrinsic dynamics. This especially problematic delicate robot manipulation tasks, where interaction forces may be comparable Therefore, dynamics must first experimentally estimated under no-load conditions, when measurement only consists of torques due transmission actuator, before interactions measured. In this work, we propose approach identifying and predicting using linear regression with non-linear radial basis functions. Then, validate on a wheel-bearing turning task, which its friction quality, thus accurately The results showed bearing measured by 7 sensor was within RMS error 11% sensor. much lower than our proposed model compensating arm.

Язык: Английский

Процитировано

0