7,095 research outputs found

    Compliance Analysis of an Under-Actuated Robotic Finger

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    Under-actuated robotic hands have multiple applications fields, like prosthetics and service robots. They are interesting for their versatility, simple control and minimal component usage. However, when external forces are applied on the finger-tip, the mechanical structure of the finger might not be able to resist them. In particular, only a subset of disturbance forces will meet finite compliance, while forces in other directions impose null-space motions (infinite compliance). Motivated by the observation that infinite compliance (i.e. zero stiffness) can occur due to under-actuation, this paper presents a geometric analysis of the finger-tip compliance of an under-actuated robotic finger. The analysis also provides an evaluation of the finger design, which determines the set of disturbances that is resisted by finite compliance. The analysis relies on the definition of proper metrics for the joint-configuration space. Trivially, without damping, the mass matrix is used as a metric. However, in the case of damping (power losses), the physical meaningful metric to be used is found to be the damping matrix. Simulation experiments confirm the theoretical results

    Impedence Control for Variable Stiffness Mechanisms with Nonlinear Joint Coupling

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    The current discussion on physical human robot interaction and the related safety aspects, but also the interest of neuro-scientists to validate their hypotheses on human motor skills with bio-mimetic robots, led to a recent revival of tendondriven robots. In this paper, the modeling of tendon-driven elastic systems with nonlinear couplings is recapitulated. A control law is developed that takes the desired joint position and stiffness as input. Therefore, desired motor positions are determined that are commanded to an impedance controller. We give a physical interpretation of the controller. More importantly, a static decoupling of the joint motion and the stiffness variation is given. The combination of active (controller) and passive (mechanical) stiffness is investigated. The controller stiffness is designed according to the desired overall stiffness. A damping design of the impedance controller is included in these considerations. The controller performance is evaluated in simulation

    An anthropomorphic soft skeleton hand exploiting conditional models for piano playing.

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    The development of robotic manipulators and hands that show dexterity, adaptability, and subtle behavior comparable to human hands is an unsolved research challenge. In this article, we considered the passive dynamics of mechanically complex systems, such as a skeleton hand, as an approach to improving adaptability, dexterity, and richness of behavioral diversity of such robotic manipulators. With the use of state-of-the-art multimaterial three-dimensional printing technologies, it is possible to design and construct complex passive structures, namely, a complex anthropomorphic skeleton hand that shows anisotropic mechanical stiffness. We introduce a concept, termed the "conditional model," that exploits the anisotropic stiffness of complex soft-rigid hybrid systems. In this approach, the physical configuration, environment conditions, and conditional actuation (applied actuation) resulted in an observable conditional model, allowing joint actuation through passivity-based dynamic interactions. The conditional model approach allowed the physical configuration and actuation to be altered, enabling a single skeleton hand to perform three different phrases of piano music with varying styles and forms and facilitating improved dynamic behaviors and interactions with the piano over those achievable with a rigid end effector

    Design of a variable-stiffness robotic hand using pneumatic soft rubber actuators

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    In recent years, Japanese society has been ageing, engendering a labor shortage of young workers. Robots are therefore expected to be useful in performing tasks such as day-to-day support for elderly people. In particular, robots that are intended for use in the field of medical care and welfare are expected to be safe when operating in a human environment because they often come into contact with people. Furthermore, robots must perform various tasks such as regrasping, grasping of soft objects, and tasks using frictional force. Given these demands and circumstances, a tendon-driven robot hand with a stiffness changing finger has been developed. The finger surface stiffness can be altered by adjusting the input pressure depending on the task. Additionally, the coefficient of static friction can be altered by changing the surface stiffness merely by adjusting the input air pressure. This report describes the basic structure, driving mechanism, and basic properties of the proposed robot hand

    ์‚ฌ๋žŒ ๊ทผ๊ณจ๊ฒฉ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ ๋กœ๋ด‡ ์†๊ฐ€๋ฝ ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(์ง€๋Šฅํ˜•์œตํ•ฉ์‹œ์Šคํ…œ์ „๊ณต), 2023. 2. ๋ฐ•์žฌํฅ.What the manipulator can perform is determined by what the end-effectors, including the robotic hand, can do because it is the gateway that directly interacts with the surrounding environment or objects. In order for robots to have human-level task performance in a human-centered environment, the robotic hand with human-hand-level capabilities is essential. Here, the human-hand-level capabilities include not only force-speed, and dexterity, but also size and weight. However, to our knowledge, no robotic hand exists that simultaneously realizes the weight, size, force, and dexterity of the human hand and continues to remain a challenge. In this thesis, to improve the performance of the robotic hand, the modular robotic finger design with three novel mechanisms based on the musculoskeletal characteristics of the human hand was proposed. First, the tendon-driven robotic finger with intrinsic/extrinsic actuator arrangement like the muscle arrangement of the human hand was proposed and analyzed. The robotic finger consists of five different tendons and ligaments. By analyzing the fingertip speed while a human is performing various object grasping motions, the actuators of the robotic finger were separated into intrinsic actuators responsible for slow motion and an extrinsic actuator that performs the motions requiring both large force and high speed. Second, elastomeric continuously variable transmission (ElaCVT), a new concept relating to continuously variable transmission (CVT), was designed to improve the performance of the electric motors remaining weight and size and applied as an extrinsic actuator of the robotic finger. The primary purpose of ElaCVT is to expand the operating region of a twisted string actuator (TSA) and duplicate the force-velocity curve of the muscles by passively changing the reduction ratio according to the external load applied to the end of the TSA. A combination of ElaCVT and TSA (ElaCVT-TSA) is proposed as a linear actuator. With ElaCVT-TSA, an expansion of the operating region of electric motors to the operating region of the muscles was experimentally demonstrated. Finally, as the flexion/extension joints of the robotic finger, anthropomorphic rolling contact joint, which mimicked the structures of the human finger joint like tongue-and-groove, and collateral ligaments, was proposed. As compliant joints not only compensate for the lack of actuated degrees of freedom of an under-actuated system and improve grasp stability but also prevent system failure from unexpected contacts, various types of compliant joints have been applied to end-effectors. Although joint compliance increases the success rate of power grasping, when the finger wraps around large objects, it can reduce the grasping success rate in pinch gripping when dealing with small objects using the fingertips. To overcome this drawback, anthropomorphic rolling contact joint is designed to passively adjust the torsional stiffness according to the joint angle without additional weight and space. With the anthropomorphic rolling contact joint, the stability of pinch grasping improved.์—”๋“œ์ดํŒฉํ„ฐ๋Š” ๋กœ๋ด‡๊ณผ ์ฃผ๋ณ€ ํ™˜๊ฒฝ์ด ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ํ†ต๋กœ๋กœ ๋งค๋‹ˆํ“ฐ๋ ˆ์ดํ„ฐ๊ฐ€ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ์ž‘์—…์€ ์—”๋“œ์ดํŽ™ํ„ฐ์˜ ์„ฑ๋Šฅ์— ์ œํ•œ๋œ๋‹ค. ์‚ฌ๋žŒ ์ค‘์‹ฌ์˜ ํ™˜๊ฒฝ์— ๋กœ๋ด‡์ด ์ ์šฉ๋˜์–ด ์‚ฌ๋žŒ ์ˆ˜์ค€์˜ ๋‹ค์–‘ํ•œ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์‚ฌ๋žŒ ์† ์ˆ˜์ค€์˜ ์„ฑ๋Šฅ์„ ๊ฐ–๋Š” ๋กœ๋ด‡ ์†์ด ํ•„์ˆ˜์ ์ด๋ฉฐ ์‚ฌ๋žŒ ์† ์ˆ˜์ค€์˜ ์„ฑ๋Šฅ์€ ๋‹จ์ˆœํžˆ ํž˜-์†๋„, ์ž์œ ๋„๋งŒ์„ ํฌํ•จํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹Œ ํฌ๊ธฐ์™€ ๋ฌด๊ฒŒ ๊ทธ๋ฆฌ๊ณ  ๋ฌผ์ฒด ์กฐ์ž‘์— ๋„์›€์„ ์ฃผ๋Š” ์—ฌ๋Ÿฌ ์† ํŠน์„ฑ๋„ ํฌํ•จํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ๊นŒ์ง€ ์‚ฌ๋žŒ ์† ์ˆ˜์ค€์˜ ๋ฌด๊ฒŒ, ํฌ๊ธฐ, ํž˜ ๊ทธ๋ฆฌ๊ณ  ์ž์œ ๋„๋ฅผ ๋ชจ๋‘ ๋งŒ์กฑ์‹œํ‚ค๋Š” ๋กœ๋ด‡ ์†์€ ๊ฐœ๋ฐœ๋˜์ง€ ์•Š์•˜์œผ๋ฉฐ ์—ฌ์ „ํžˆ ๋„์ „์ ์ธ ๊ณผ์ œ๋กœ ๋‚จ์•„์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์‚ฌ๋žŒ์˜ ๊ทผ๊ณจ๊ฒฉ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ ์„ธ ๊ฐ€์ง€์˜ ์ƒˆ๋กœ์šด ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ œ์•ˆํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ฉํ•œ ๋ชจ๋“ˆํ˜• ๋กœ๋ด‡ ์†๊ฐ€๋ฝ ๊ตฌ์กฐ๋ฅผ ๋ณด์ธ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ, ์‚ฌ๋žŒ์˜ ์† ๊ทผ์œก ๋ฐฐ์น˜์™€ ์œ ์‚ฌํ•œ ๋‚ด์žฌ/์™ธ์žฌ ๊ตฌ๋™๊ธฐ ๋ฐฐ์น˜๋ฅผ ์ ์šฉํ•œ ํž˜์ค„ ๊ตฌ๋™ ๋กœ๋ด‡ ์†๊ฐ€๋ฝ ๊ตฌ์กฐ๋ฅผ ์ œ์•ˆํ•˜๊ณ  ๋ถ„์„ํ•œ๋‹ค. ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์€ ๋‹ค์„ฏ ๊ฐœ์˜ ์„œ๋กœ ๋‹ค๋ฅธ ํž˜์ค„๊ณผ ์ธ๋Œ€๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ์‚ฌ๋žŒ ์†๋™์ž‘ ๋ถ„์„์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์˜ ๊ตฌ๋™๊ธฐ๋Š” ๋Š๋ฆฐ ์†๋„๋ฅผ ๋‹ด๋‹นํ•˜๋Š” ๋‚ด์žฌ ๊ตฌ๋™๊ธฐ์™€ ๋น ๋ฅด๊ณ  ํฐ ํž˜์ด ๋ชจ๋‘ ์š”๊ตฌ๋˜๋Š” ์™ธ์žฌ ๊ตฌ๋™๊ธฐ๋กœ ๊ตฌ๋ถ„๋œ๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ, ๊ตฌ๋™๊ธฐ์˜ ํฌ๊ธฐ์™€ ๋ฌด๊ฒŒ๋ฅผ ์œ ์ง€ํ•˜๋ฉฐ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ƒˆ๋กœ์šด ๊ฐœ๋…์˜ ๋ฌด๋‹จ ๋ณ€์†๊ธฐ Elastomeric Continuously Variable Transmission (ElaCVT) ์„ ์ œ์•ˆํ•˜๊ณ  ์ด๋ฅผ ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์˜ ์™ธ์žฌ ๊ตฌ๋™๊ธฐ์— ์ ์šฉํ•˜์˜€๋‹ค. ElaCVT๋Š” ์„ ํ˜• ๊ตฌ๋™๊ธฐ์˜ ์ž‘๋™ ์˜์—ญ์„ ํ™•์žฅํ•˜๊ณ  ์ถœ๋ ฅ๋‹จ์— ๊ฐ€ํ•ด์ง€๋Š” ์™ธ๋ถ€ ํ•˜์ค‘์— ๋”ฐ๋ผ ๊ฐ์†๋น„๋ฅผ ์ˆ˜๋™์ ์œผ๋กœ ๋ณ€๊ฒฝํ•˜์—ฌ ๊ทผ์œก์˜ ํž˜-์†๋„ ๊ณก์„ ์„ ๋ชจ์‚ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ทผ์œก์˜ ํŠน์„ฑ์„ ๋ชจ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ์„ ํ˜• ์•ก์ถ”์—์ดํ„ฐ๋กœ ElaCVT์— ์ค„ ๊ผฌ์ž„ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ ์šฉํ•œ ElaCVT-TSA๋ฅผ ์ œ์•ˆ, ๊ทผ์œก์˜ ๋™์ž‘ ์˜์—ญ์„ ๋ชจ์‚ฌํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์˜ ๋ชจ๋“  ๊ตฝํž˜/ํŽผ์นจ ๊ด€์ ˆ์— ์ ์šฉ๋œ ์‚ฌ๋žŒ์˜ ๊ด€์ ˆ๊ตฌ์กฐ๋ฅผ ๋ชจ์‚ฌํ•œ ์œ ์—ฐ ๊ตฌ๋ฆ„ ์ ‘์ด‰ ๊ด€์ ˆ (Anthropomorphic Rolling Contact joint)์„ ์ œ์•ˆํ•œ๋‹ค. Anthropomorphic rolling contact joint๋Š” ์‚ฌ๋žŒ ๊ด€์ ˆ์˜ tongue-and-groove ํ˜•์ƒ๊ณผ collateral ligament๋ฅผ ๋ชจ์‚ฌํ•˜์—ฌ ๊ด€์ ˆ์˜ ์•ˆ์ •์„ฑ์„ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. ๊ธฐ์กด์˜ ์œ ์—ฐ ๊ด€์ ˆ๊ณผ ๋‹ฌ๋ฆฌ ๊ด€์ ˆ์ด ํŽด์ง„ ์ƒํƒœ์—์„œ๋Š” ์œ ์—ฐํ•œ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•˜๋ฉฐ ๊ตฝํ˜€์ง„ ์ƒํƒœ์—์„œ๋Š” ๊ฐ•์„ฑ์ด ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ํŠน์ง•์„ ๊ฐ–๋Š”๋‹ค. ํŠนํžˆ, ๊ฐ•์„ฑ ๋ณ€ํ™”์— ๋ณ„๋„์˜ ๊ตฌ๋™๊ธฐ๊ฐ€ ์š”๊ตฌ๋˜์ง€ ์•Š์•„ ๊ธฐ์กด์˜ ๊ด€์ ˆ์—์„œ ๋ฌด๊ฒŒ, ํฌ๊ธฐ ์ฆ๊ฐ€ ์—†์ด ํ•ด๋‹น ํŠน์ง• ๊ตฌํ˜„์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ์ด๋Š” ๋กœ๋ด‡ ์†๊ฐ€๋ฝ์— ์ ์šฉ๋˜์–ด ์†๊ฐ€๋ฝ์„ ํŽด๊ณ  ๋ฌผ์ฒด๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ๊ณผ์ •์—์„œ๋Š” ์ถฉ๊ฒฉ์„ ํก์ˆ˜ํ•˜์—ฌ ์•ˆ์ •์ ์ธ ์ ‘์ด‰์„ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋ฌผ์ฒด๋ฅผ ํŒŒ์ง€ํ•˜๋Š” ๊ณผ์ •์—์„œ๋Š” ์†๊ฐ€๋ฝ์„ ๊ตฝํ˜€ ๊ฐ•์ธํ•˜๊ฒŒ ๋ฌผ์ฒด๋ฅผ ํŒŒ์ง€ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. Anthropomorphic rolling contact joint๋ฅผ ์ ์šฉํ•œ ๊ทธ๋ฆฝํผ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ œ์•ˆํ•˜๋Š” ๊ฐ€๋ณ€ ๊ฐ•์„ฑ ์œ ์—ฐ ๊ด€์ ˆ์ด pinch grasping์˜ ํŒŒ์ง€ ์•ˆ์ •์„ฑ์„ ๋†’์ž„์„ ๋ณด์˜€๋‹ค.1 INTRODUCTION 1 1.1 MOTIVATION: ROBOTIC HANDS 1 1.2 CONTRIBUTIONS OF THESIS 10 1.2.1 Intrinsic/Extrinsic Actuator arrangement 11 1.2.2 Linear actuator mimicking human muscle properties 11 1.2.3 Flexible rolling contact joint 12 2 ROBOTIC FINGER STRUCTURE WITH HUMAN-LIKE ACTUATOR ARRANGEMENT 13 2.1 ANALYSIS OF HUMAN FINGERTIP VELOCITY 14 2.2 THE ROBOTIC FINGER WITH INTRINSIC/EXTRINSIC ACTUATORS 18 2.2.1 The structure of proposed robotic finger 18 2.2.2 Kinematics of the robotic finger 20 2.2.3 Tendons and Ligaments of the proposed robotic finger 26 2.2.4 Decoupled fingertip motion in the sagittal plane 28 3 ELASTOMERIC CONTINUOUSLY VARIABLE TRANSMISSION COMBINED WITH TWISTED STRING ACTUATOR 35 3.1 BACKGROUND & RELATED WORKS 35 3.2 COMPARISON OF OPERATING REGIONS 40 3.3 DESIGN OF THE ELASTOMERIC CONTINUOUSLY VARIABLE TRANSMISSION 42 3.3.1 Structure of ElaCVT 42 3.3.2 Design of Elastomer and Lateral Disc 43 3.3.3 Advantages of ElaCVT 48 3.4 PERFORMANCE EVALUATION 50 3.4.1 Experimental Setup 50 3.4.2 Contraction with Fixed external load 50 3.4.3 Contraction with Variable external load 55 3.4.4 Performance variation of ElaCVT over long term usage 55 3.4.5 Specifications and Limitations of ElaCVT-TSA 59 4 ANTHROPOMORPHIC ROLLING CONTACT JOINT 61 4.1 INTRODUCTION: COMPLIANT JOINT 61 4.2 RELATED WORKS: ROLLING CONTACT JOINT 65 4.3 ANTHROPOMORPHIC ROLLING CONTACT JOINT 67 4.3.1 Fundamental Components of ARC joint 69 4.3.2 Advantages of ARC joint 73 4.4 TORSIONAL STIFFNESS EVALUATION 75 4.4.1 Experimental Setup 75 4.4.2 Design and Manufacturing of ARC joints 77 4.4.3 Torsional Stiffness Change according to Joint Angle and Twist Angle 79 4.5 TORSIONAL STIFFNESS WITH JOINT COMPRESSION FORCE DUE TO TNESION OF TENDONS 80 4.6 TORSIONAL STIFFNESS WITH LUBRICATION STRUCTURE 82 4.7 GRASPING PERFORMANCE COMPARISON OF GRIPPERS WITH DIFFERENT ARC JOINTS 86 5 CONCLUSIONS 92 Abstract (In Korean) 107๋ฐ•

    Variable stiffness robotic hand for stable grasp and flexible handling

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    Robotic grasping is a challenging area in the field of robotics. When interacting with an object, the dynamic properties of the object will play an important role where a gripper (as a system), which has been shown to be stable as per appropriate stability criteria, can become unstable when coupled to an object. However, including a sufficiently compliant element within the actuation system of the robotic hand can increase the stability of the grasp in the presence of uncertainties. This paper deals with an innovative robotic variable stiffness hand design, VSH1, for industrial applications. The main objective of this work is to realise an affordable, as well as durable, adaptable, and compliant gripper for industrial environments with a larger interval of stiffness variability than similar existing systems. The driving system for the proposed hand consists of two servo motors and one linear spring arranged in a relatively simple fashion. Having just a single spring in the actuation system helps us to achieve a very small hysteresis band and represents a means by which to rapidly control the stiffness. We prove, both mathematically and experimentally, that the proposed model is characterised by a broad range of stiffness. To control the grasp, a first-order sliding mode controller (SMC) is designed and presented. The experimental results provided will show how, despite the relatively simple implementation of our first prototype, the hand performs extremely well in terms of both stiffness variability and force controllability

    Design and analysis of a variable-stiffness robotic gripper

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    This paper presents the design and analysis of a novel variable-stiffness robotic gripper, the RobInLab VS gripper. The purpose is to have a gripper that is strong and reliable as rigid grippers but adaptable as soft grippers. This is achieved by designing modular fingers that combine a jamming material core with an external structure, made with rigid and flexible materials. This allows the finger to softly adapt to object shapes when the capsule is not active, but becomes rigid when air suction is applied. A three-finger gripper prototype was built using this approach. Its validity and performance are evaluated using five experimental benchmark tests implemented exclusively to measure variable-stiffness grippers. To complete the analysis, our gripper is compared with an alternative gripper built by following a relevant state-of-the-art design. Our results suggest that our solution significantly outperforms previous approaches using similar variable stiffness designs, with a significantly higher grasping force, combining a good shape adaptability with a simpler and more robust design.This paper describes research conducted at UJI Robotic Intelligence Laboratory. Support for this laboratory is provided in part by Ministerio de Ciencia e Innnovaciรณn (DPI2015-69041-R and DPI2017-89910-R), by Universitat Jaume I (UJI-B2018-74), and by Generalitat Valenciana (PROMETEO/2020/034)
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