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9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.最新文献

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MR compatible ERF driven hand rehabilitation device 磁共振兼容ERF驱动的手部康复装置
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501039
A. Khanicheh, Andrew Muto, Christina Triantafyllou, B. Weinberg, L. Astrakas, A. Tzika, C. Mavroidis
This paper presents the design, fabrication and preliminary tests of a novel, one degree of freedom, MR compatible, computer controlled, variable resistance hand device that will be used in fMRI studies of the brain and motor performance during rehabilitation after stroke. The device consists of four major subsystems: a) the electro-rheological fluid (ERF) resistive element; b) the gearbox; c) the handles and d) the sensors: one optical encoder and one force sensor attached to the ERF resistive element's shaft to measure the patient induced motion and force, respectively. A key feature of the device is the use of electro theological fluids (ERF) to achieve resistive force generation. ERFs are fluids that experience dramatic changes in rheological properties, such as viscosity or yield stress, in the presence of an electric field. Using the electrically controlled rheological properties of ERFs, compact resistive elements with an ability to supply high resistive torques in a controllable and tunable fashion, have been developed. Our preliminary tests demonstrate that the device can apply, on a human hand holding the device handles, resistive forces that exceed 150 N. In addition the activated ERF maintain its properties in the magnetic environment without creating degradation of the MR images. The results are encouraging in combining functional magnetic resonance imaging methods, with MR compatible robotic devices for improved effectiveness of rehabilitation therapy.
本文介绍了一种新颖的、单自由度的、磁共振兼容的、计算机控制的、可变阻力手装置的设计、制造和初步测试,该装置将用于脑卒中康复期间大脑和运动性能的功能磁共振研究。该装置由四个主要子系统组成:a)电流变液(ERF)电阻元件;B)变速箱;c)手柄和d)传感器:一个光学编码器和一个力传感器连接在ERF电阻元件的轴上,分别测量患者引起的运动和力。该装置的一个关键特点是使用电流变液(ERF)来产生阻力。erf是在电场作用下流变特性(如粘度或屈服应力)发生剧烈变化的流体。利用erf的电控流变特性,紧凑的电阻元件能够以可控和可调谐的方式提供高电阻扭矩,已经被开发出来。我们的初步测试表明,该设备可以在握住设备手柄的人手上施加超过150牛顿的阻力。此外,激活的ERF在磁性环境中保持其特性,而不会造成MR图像的退化。结果令人鼓舞地将功能性磁共振成像方法与磁共振兼容的机器人设备相结合,以提高康复治疗的有效性。
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引用次数: 45
Design of a new 5 d.o.f. wire-based robot for rehabilitation 一种新型5 d.o.f康复机器人的设计
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501135
G. Rosati, Pasquale Gallina, Stefano Masiero, A. Rossi
In the last three years, a wire-based robot called the NeReBot (neurorehabilitation robot) was developed at the Robotics Laboratory of the Department of Innovation in Mechanics and Management, University of Padua, Italy. NeReBot is a 3 degrees-of-freedom (d.o.f.) wire-based robot, designed for the treatment of patients with stroke-related paralyzed or paretic upper limb during the acute phase. Although first clinical tests showed encouraging results in terms of motor recovery and functional outcome, the robot presented some limitations. Hence a new wire-based robot, called the MariBot (Marisa robot), was designed. The wire-drive philosophy, which makes the robot intrinsically safe, was maintained. Nevertheless, by changing the mechanical structure and adding two more d.o.f. the working space was enlarged significantly. Moreover, thanks to the improved mechanical design, MariBot results much lighter and less cumbersome than NeReBot. Finally, electronic hardware and control software were changed in order to improve man-machine interaction. In this paper, starting from the NeReBot experience, the design of MariBot is presented.
在过去的三年里,意大利帕多瓦大学机械与管理创新系机器人实验室开发了一种名为NeReBot(神经康复机器人)的基于线的机器人。NeReBot是一个3个自由度(d.o.f)的基于线的机器人,设计用于治疗急性期中风相关瘫痪或上肢麻痹的患者。尽管第一次临床试验在运动恢复和功能结果方面显示出令人鼓舞的结果,但该机器人仍存在一些局限性。因此,一种新的基于线的机器人,被称为MariBot(玛丽莎机器人),被设计出来。电线驱动的理念,使机器人本质上是安全的,得到了维护。然而,通过改变机械结构和增加两个doof,工作空间明显扩大。此外,由于改进了机械设计,MariBot的重量比NeReBot轻得多,也不那么笨重。最后,对电子硬件和控制软件进行了改造,以提高人机交互性。本文从NeReBot的经验出发,介绍了MariBot的设计。
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引用次数: 93
Improved haptic interaction control with force filter compensator 改进了力滤波补偿器的触觉交互控制
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501075
J. Podobnik, M. Munih
Stability of a haptic interface is essential for safe and quality haptic interaction. This paper addresses the contact instability of admittance control haptic interface in free space. Experiments with special dedicated system for measuring grasp force have been performed to explore conditions of contact instability. Baseline experimental results are here compared to simulations from a model of haptic interaction. The model serves also as a basis for stability and performance improvements with a special compensator filter for force filtering. Experimental and simulation results both confirm stability improvements.
触觉界面的稳定性对安全、高质量的触觉交互至关重要。研究了自由空间中导纳控制触觉界面的接触不稳定性问题。用专门的抓力测量系统进行了实验,以探索接触不稳定条件。这里的基线实验结果与触觉交互模型的模拟结果进行了比较。该模型还可作为稳定性和性能改进的基础,并采用特殊的补偿滤波器进行力滤波。实验和仿真结果都证实了稳定性的提高。
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引用次数: 4
Evaluation of tracking performance using joystick manipulators that engage different arm workspaces 使用操纵杆机械手参与不同手臂工作空间的跟踪性能评估
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501058
L.M. Johnson, J. Winters
Robotic devices, especially those that are motivating, have shown a great deal of potential for use in upper-extremity stroke rehabilitation. The TheraJoy project aims at designing a cost efficient device for use in home therapy. This has involved altering a commercial force-reflecting joystick by lengthening the joystick shaft to encompass a larger range of horizontal motion, adding a vertical linkage system to add vertical arm movements, and adding springs to support the application of light passive and actuated forces. This system has been used in conjunction with specially designed software to study both assessment and therapeutic tasks. As the endpoint for each linkage moves in an arc that is nearly a plane, there is a need to generate expectations for tracking patterns for each manipulator. This study evaluates movements in able-bodied subjects for strategic tracking tasks. A key observation is that the non-dominant hand displays both longer reaction and movement times and also greater and more consistent deviations from straight-line paths over certain ranges and directions.
机器人设备,特别是那些具有激励作用的设备,在上肢中风康复中显示出很大的潜力。TheraJoy项目旨在设计一种用于家庭治疗的低成本设备。这包括通过延长操纵杆轴以包含更大范围的水平运动来改变商业力反射操纵杆,增加垂直连接系统以增加垂直臂运动,并增加弹簧以支持轻型被动和驱动力的应用。该系统与专门设计的软件一起用于研究评估和治疗任务。由于每个连杆的端点在接近一个平面的弧线中移动,因此需要为每个机械手的跟踪模式生成期望。本研究评估了身体健全的受试者在策略跟踪任务中的动作。一个关键的观察是,非优势手显示出更长的反应和运动时间,并且在一定的范围和方向上,更大更一致地偏离直线路径。
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引用次数: 5
In contrast to robots, in humans internal and manipulation forces are coupled 与机器人不同,人类的内力和操纵力是耦合的
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501129
Fan Gao, M. Latash, V. Zatsiorsky
Internal force is defined as a set of contact forces which does not perturb object equilibrium. The internal forces cancel each other and therefore do not contribute to the resultant (manipulation) force acting upon the object. Mathematically, the internal and manipulation forces are independent. Hence they can be controlled independently and corresponding controllers have been implemented in robotic manipulators. The purposes of this study are to examine whether in humans internal force is coupled with the manipulation force and what kind of grasping strategy the performers utilize. The subjects (n=6) were instructed to make cyclic arm movements with a customized manipulandum and the orientation and the movement direction of the manipulandum were varied. Two major grasping patterns were demonstrated: symmetric grasping synergy when the manipulation force is parallel to finger-object interface; and reciprocal changes of forces when the manipulation force is orthogonal to digit-object interface. In contrast to robotic gripper where controls of internal force and manipulation force are decoupled, in humans the internal and manipulation forces are coupled.
内力定义为不破坏物体平衡的一系列接触力。内力相互抵消,因此对作用在物体上的合力(操纵力)没有贡献。在数学上,内力和操纵力是独立的。因此,它们可以独立控制,相应的控制器已经在机器人操作器中实现。本研究的目的是研究人类的内力是否与操纵力相耦合,以及表演者使用什么样的抓取策略。指导被试(n=6)使用定制的机械手进行手臂循环运动,改变机械手的姿态和运动方向。研究了两种主要的抓取模式:当操纵力平行于指-物界面时的对称抓取协同;以及当操纵力与数字物体界面正交时力的倒数变化。机械手的内力和操纵力的控制是分离的,而人的内力和操纵力是耦合的。
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引用次数: 4
High performance Cobotics 高性能机器人
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501071
E. Faulring, J. Colgate, M. Peshkin
Cobots are a class of robots that use continuously variable transmissions to develop high fidelity programmable constraint surfaces. Cobots consume very little electrical power even when providing high output forces, and their transmissions are highly efficient across a broad range of transmission ratios. Cobotic transmissions also have the ability to act either as a brake or to become entirely free. The design and performance of the cobotic hand controller, a recently developed six-degree-of-freedom haptic display, is reviewed. This device illustrates the high dynamic range and low power consumption achievable by cobots. A thorough comparison of the power efficiency of a cobotic system versus a conventional electro-mechanical system is provided.
协作机器人是一类使用无级变速传动来开发高保真可编程约束曲面的机器人。协作机器人即使在提供高输出力的情况下也只消耗很少的电力,而且它们的变速器在很大的传动比范围内都是高效率的。机器人传动装置也可以起到刹车或完全自由的作用。综述了近年来开发的六自由度触觉显示器cobotic手控器的设计和性能。该装置展示了协作机器人可以实现的高动态范围和低功耗。提供了机器人系统与传统机电系统的功率效率的全面比较。
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引用次数: 4
Analysis and synthesis of human movements: wearable kinesthetic interfaces 人体运动的分析与综合:可穿戴的动觉界面
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501148
A. Tognetti, F. Lorussi, R. Bartalesi, M. Tesconi, G. Zupone, D. D. Rossi
Electrically conductive elastomer composites (CEs) show piezoresistive properties when a deformation is applied. In several applications, CEs can be integrated onto fabric or other flexible substrate and can be employed as strain sensors. Moreover, integrated CE sensors may be used in biomechanical analysis to realize wearable kinesthetic interfaces able to detect posture and movement of the human body. In the following a kinesthetic upper limb garment realized by CEs which allows to reconstruct shoulder, elbow and wrist movements and a kinesthetic glove able to detect posture and gesture of the hand are presented.
当施加变形时,导电弹性体复合材料(CEs)表现出压阻性。在一些应用中,ce可以集成到织物或其他柔性基板上,并可以用作应变传感器。此外,集成的CE传感器可用于生物力学分析,以实现能够检测人体姿势和运动的可穿戴动觉接口。下面介绍了一种由CEs实现的能够重建肩部、肘部和手腕运动的动觉上肢服装,以及一种能够检测手部姿势和手势的动觉手套。
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引用次数: 7
An approach to designing software safety systems for rehabilitation robots 康复机器人软件安全系统的设计方法
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501096
S. Roderick, C. Carignan
This paper presents a system-level approach to the design of a safety-critical robotic system that is sufficiently safe to satisfy human-subject safety criteria. This system design approach utilizes preliminary hazard analysis, and fault tree analysis, and was successfully applied to a dexterous space robot designed to fly on NASA's space shuttle. An application of this approach to a shoulder rehabilitation exoskeleton would be presented and shown to improve the safety of the overall system.
本文提出了一种系统级的方法来设计一个安全关键型机器人系统,该系统足够安全,可以满足人-主体安全标准。该系统设计方法采用了初步危害分析和故障树分析,并成功应用于NASA航天飞机上的灵巧空间机器人。将此方法应用于肩部康复外骨骼,以提高整个系统的安全性。
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引用次数: 19
A multi-stage shared control method for an intelligent mobility assistant 一种智能移动助手的多阶段共享控制方法
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501134
S. Mclachlan, J. Arblaster, O.K. Liu, J. V. Miró, L. Chenoweth
This paper presents a multi-stage shared control method (MSSC) which can be used to control the movement of a robotic mobility assistant designed to facilitate safe mobilization for people with unstable gait. The multi-stage control module consists of user intent, obstacle avoidance and fuzzy logic components. The user intent represents the person's commands. The obstacle avoidance component reads data representing any obstacles in the vicinity of the assistant and uses the vector field histogram (VFH) algorithm to select a suitable path to avoid any obstacles in the path of travel. The fuzzy logic component is responsible for merging the user intent and obstacle avoidance information such that the user's request is satisfied to the highest extent possible. When an unsafe situation presents itself the user's request(s) would be partially or wholly overridden so the assistant can return to a safe state. The system has been designed to be dynamically configurable so as to suit different users in terms of gait stability and strength, preferred speed of travel and level of control over the system. It has been tested both in a simulated environment and real-world operating conditions and has been shown to effectively avoid obstacles with minimal disruption to the user and their intent.
本文提出了一种多阶段共享控制方法(MSSC),用于控制机器人移动助手的运动,以方便步态不稳定的人安全移动。多级控制模块由用户意图、避障和模糊逻辑组成。用户意图表示人的命令。避障组件读取代表助手附近任何障碍物的数据,并使用向量场直方图(vector field histogram, VFH)算法选择合适的路径以避开行走路径中的任何障碍物。模糊逻辑组件负责合并用户意图和避障信息,使用户的请求得到最大程度的满足。当不安全的情况出现时,用户的请求将被部分或全部覆盖,这样助手就可以返回到安全状态。该系统被设计为可动态配置的,以适应不同用户在步态稳定性和强度、首选的行进速度和对系统的控制水平方面的需求。它已经在模拟环境和现实世界的操作条件下进行了测试,并被证明可以有效地避开障碍物,对用户及其意图的干扰最小。
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引用次数: 46
Rehabilitation robot in intelligent home environment - software architecture and implementation of a distributed system 智能家居环境下的康复机器人分布式系统的软件架构与实现
Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1501158
O. Prenzel, J. Feuser, A. Graser
Rehabilitation robots (e.g. FRIEND as intelligent wheelchair mounted manipulator) are being developed to gain their user's autonomy within daily life environment. To prevent a high cognitive load onto the user, task input on a high level of abstraction is mandatory. State-of-the-art rehabilitation robots are still not capable to integrate fragments of intelligent behavior into an overall context and to solve complex tasks. A basic problem is how to cope with system complexity as well as computational complexity that evolve during task planning. A compromise towards feasibility is to equip the system's environment with smart components that provide own intelligence and thus reduce the complexity of the robotic system. However, a structured approach is necessary to fuse the distributed intelligence. This paper is about the concept and realization of a software-framework being able to execute autonomous system operations together with information retrieving capabilities and user interactions within a distributed system. Key aspects of development have been to provide robust run-time behavior of the system along with the inclusion and resolving of redundant sensor information as well as to reduce the effort of system programming to a minimum. The application of the developed framework is demonstrated on base of sample steps of its integration with the FRIEND II rehabilitation robotic system within an intelligent home environment.
康复机器人(如FRIEND作为安装在轮椅上的智能机械手)正在被开发,以获得用户在日常生活环境中的自主性。为了防止给用户带来高认知负荷,必须在高抽象级别上进行任务输入。最先进的康复机器人仍然无法将智能行为的片段整合到整体环境中,也无法解决复杂的任务。一个基本问题是如何处理系统复杂性以及在任务规划过程中演变的计算复杂性。可行性的一个折衷方案是为系统环境配备智能组件,这些组件可以提供自身的智能,从而降低机器人系统的复杂性。然而,需要一种结构化的方法来融合分布式智能。本文讨论了一个软件框架的概念和实现,该框架能够在分布式系统中执行自主系统操作,并具有信息检索能力和用户交互能力。开发的关键方面是提供系统的健壮运行时行为,同时包含和解决冗余传感器信息,以及将系统编程的工作量减少到最低限度。通过与FRIEND II康复机器人系统在智能家居环境中的集成示例步骤,演示了所开发框架的应用。
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引用次数: 16
期刊
9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.
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