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2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)最新文献

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Analyzing Exfordance Use by Unilateral Upper-Limb Amputees* This work was supported by the US Army Medical Research & Materiel Command, grant W81XWH-14-1-0277. 分析单侧上肢截肢者的力量使用*这项工作得到了美国陆军医学研究与物资司令部的支持,授权W81XWH-14-1-0277。
J. Cochran, A. Spiers, A. Dollar
Humans often use features of their environment for assistance in picking up and manipulating objects or in stabilizing their own bodies. This ‘exfordance’ use occurs when external contact or gravitational or inertial forces are utilized to aid in task completion or stabilization. This paper presents a categorization of exfordance use and applies the new framework to quantifying how experienced unilateral upper-limb amputees use of exfordances during everyday activities, both in their affected and unaffected limbs. Head-mounted cameras were used to record video footage of participants in their homes while they completed self-selected activities of daily living. A total of 35 minutes of dense manipulation footage has been analyzed for each of 5 trans-radial amputees with different prosthetic devices, resulting in over 4,700 instances of observed exfordance use. The results indicate that participants used exfordance-based vs. non exfordance-based manipulation strategies approximately the same amount with both their intact and prosthetic hands, after adjusting for overall hand use. Furthermore, the specific exfordance use strategies vary substantially between limbs, with participants using environmental surfaces such as tables to guide the motion of their unaffected hand more frequently than with their prosthetic hand, possibly due to increased control and passive conformation ability. Also, participants used gravity-based exfordances (e.g. hanging a towel over the hand) much more frequently with their prosthetic, likely due to its reduced grasping capabilities.
人类经常利用环境的特征来帮助拿起和操纵物体或稳定自己的身体。当利用外部接触或重力或惯性力来帮助完成任务或稳定时,这种“增强”使用就会发生。本文提出了一种外伸性使用的分类,并应用新的框架来量化有经验的单侧上肢截肢者在日常活动中如何使用外伸性,无论是在他们的受影响的肢体还是未受影响的肢体。研究人员使用头戴式摄像机来记录参与者在家中完成自己选择的日常生活活动时的视频片段。对5名使用不同假肢装置的经桡骨截肢者进行了总共35分钟的密集操作镜头分析,结果观察到有4700多例使用外力。结果表明,在调整了手的整体使用情况后,参与者使用基于外伸性和非外伸性的操作策略的数量大致相同。此外,肢体之间具体的力量使用策略差异很大,参与者使用环境表面(如桌子)来指导他们未受影响的手的运动比使用假手更频繁,可能是由于控制力和被动构象能力的增强。此外,参与者更频繁地使用基于重力的出口(例如,在手上挂一条毛巾),可能是由于其抓握能力降低。
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引用次数: 3
Custom Force Sensor and Sensory Feedback System to Enable Grip Control of a Robotic Prosthetic Hand 定制力传感器和感官反馈系统,使机器人假肢的抓地力控制
Nabeel Seedat, I. Mohamed, A. Mohamed
Amputees living in the developing world can benefit greatly from a dexterous low-cost robotic prosthetic hand that can be controlled via electromyography (EMG). This research addresses part of the challenge of designing and constructing such a low-cost device. In particular, the development of novel and functionally suitable fingertip sensors is presented in this paper. The sensors allowed for the user with a trans-humeral amputation to intuitively control grip strength of the robotic prosthetic hand with the help of an EMG electrode placed on the bicep muscle, as well as, a haptic sensory feedback system. The fingertip sensors illustrated a stable linear relationship with force, an even sensitivity to force over the pulp of finger and the medial and lateral sides of the finger above the distal inter-phalangeal joint across the fingertip. Additionally, it had a low cost of construction ($1.00) and the ability to fit on curved surfaces. Two test subjects evaluated the performance of the sensors in combination with the haptic sensory feedback system. The use of the novel sensors allowed for the test subjects to discriminate the forces experienced by each finger when gripping objects of different shapes, with an accuracy of 80% and 73% accuracy respectively. Hence, the fingertip sensors along with haptic feedback can provide a possible solution for amputees to regain the sense a touch and at a low cost. This is a step towards a cost effective ($(pm$ 150)$, yet functional robotic prosthetic hand for amputees.
生活在发展中国家的截肢者可以从一种灵巧的低成本机器人假肢中受益匪浅,这种假肢可以通过肌电图(EMG)来控制。这项研究解决了设计和制造这种低成本设备的部分挑战。本文特别介绍了新型、功能合适的指尖传感器的发展。传感器允许经过肱骨截肢的用户通过放置在二头肌上的肌电图电极以及触觉感觉反馈系统直观地控制机械假手的握力。指尖传感器显示出与力的稳定线性关系,对指尖远端指间关节上方的指髓和手指内侧和外侧的力具有均匀的敏感性。此外,它的建造成本很低(1美元),并且能够安装在曲面上。两名测试对象评估了传感器与触觉反馈系统相结合的性能。新型传感器的使用允许测试对象区分每个手指在抓取不同形状的物体时所经历的力,准确度分别为80%和73%。因此,指尖传感器和触觉反馈可以为截肢者提供一个可能的解决方案,以低成本恢复触觉。这是为截肢者制造具有成本效益($($ pm$ 150)$)但功能强大的机器人假肢的一步。
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引用次数: 4
Multi-Modal Human-Machine Control Interfaces of Upper Limb Motorized Exoskeletons for Severely Impaired Patients 重度损伤患者上肢电动外骨骼多模态人机控制接口
S. D. Gasperina, M. Gandolla, A. Calcagno, Andrea Costa, L. Aquilante, M. Puchinger, M. Gföhler, F. Braghin, A. Pedrocchi
The aim of this study concerns the evaluation and comparison of different Human-Machine Interfaces for the control of an upper limb motorized exoskeleton for severely impaired patients. Different approaches (i.e. manual, vocal, visual control) are tested in a simulation environment on three subjects affected by muscular dystrophy with the aim of assessing the capability of the system to interact with the user and vice versa. A Graphical User Interface shows the simulated behavior of the exoskeleton to the user which has to perform reaching tasks in the space by moving the exoskeleton end-effector to defined virtual targets that are displayed on the screen. Specific assessment of the interaction of the user with each control interface is achieved, while a quantitative evaluation of the usability of all the three approaches is provided by a System Usability Scale (SUS) questionnaire. All patients were able to interact with all control interfaces without difficulties and to complete reaching tasks in simulation. SUS scores showed overall good usability of the Human-Machine Control Interfaces suggesting that the manual and the vocal control interfaces are preferred by the subjects.
本研究的目的是评估和比较不同的人机界面,以控制严重受损患者的上肢机动外骨骼。不同的方法(即手动,声音,视觉控制)在模拟环境中测试了三个受肌肉萎缩症影响的受试者,目的是评估系统与用户交互的能力,反之亦然。图形用户界面向用户显示外骨骼的模拟行为,用户必须通过将外骨骼末端执行器移动到屏幕上显示的定义虚拟目标来执行空间中的到达任务。对用户与每个控制界面的交互进行具体评估,同时通过系统可用性量表(SUS)问卷对所有三种方法的可用性进行定量评估。所有患者均能无困难地与所有控制界面进行交互,并完成模拟中的伸手任务。SUS得分显示人机控制界面的总体可用性良好,表明手动和语音控制界面是受试者的首选。
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引用次数: 7
An Adaptive Arm-Weight Support Platform for 3D Upper Limb Robot-Aided Neuro-Rehabilitation 三维上肢机器人辅助神经康复的自适应臂重支撑平台
F. D. Luzio, D. Simonetti, F. Cordella, G. Carpino, F. Draicchio, L. Zollo
Arm-weight support has proved to be a key component in robot-aided neuro-rehabilitation in order to permit a wide range of motion for patients with severe disabilities. In this work, a novel motorized platform for sustaining the upper limb of patients during 3D robot-aided rehabilitation and its control architecture are presented. The proposed system is able to support patient's limb in the 3D space through upper limb kinematic reconstruction during the execution of reaching movements. The platform and the adopted control strategy have been tested on 8 healthy subjects performing point-to-point 3D movements. The trajectory executed by the forearm support has been monitored to assess the performance of the chosen control approach. Moreover, a questionnaire based on the Likert rating scale has been submitted to the subjects to evaluate the overall platform. Preliminary results showed that the proposed control algorithm allowed to follow the arm movement in $pmb{3}mathbf{D}$ space with a reduced position error $(0.002pm 0.012$ rad $)$, Moreover the subjects felt their arm completely supported, free to move in any direction of the space and judged the platform easy to use.
臂重支持已被证明是机器人辅助神经康复的关键组成部分,以允许严重残疾患者进行大范围的运动。在这项工作中,提出了一种在3D机器人辅助康复过程中维持患者上肢的新型电动平台及其控制结构。该系统能够通过上肢运动重建在三维空间中支撑患者的肢体。该平台和所采用的控制策略已在8名进行点对点3D运动的健康受试者身上进行了测试。监测前臂支架执行的轨迹,以评估所选控制方法的性能。此外,还向受试者提交了一份基于李克特评定量表的问卷,以评估整个平台。初步结果表明,所提出的控制算法可以跟随手臂在$pmb{3}mathbf{D}$空间内的运动,减小了位置误差$(0.002pm 0.012$ rad $)$,并且受试者感到手臂得到了完全的支撑,可以在空间的任何方向自由移动,并且判断平台易于使用。
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引用次数: 1
A Kinematic Model for the Design of a Bicondylar Mechanical Knee 双髁机械膝关节设计的运动学模型
Felix Russell, R. Vaidyanathan, P. Ellison
In this paper we present a design methodology for a bicondylar joint that mimics many of the physical mechanisms in the human knee. We replicate the elastic ligaments and sliding and rolling joint surfaces. As a result the centre of rotation and moment arm from the quadriceps changes as a function of flexion angle in a similar way to the human knee. This leads to a larger moment arm in the centre of motion, where it is most needed for high load tasks, and a smaller moment arm at the extremes, reducing the required actuator displacement. This is anticipated to improve performance:weight ratio in legged devices for tasks such as stair accent and sit-to-stand. In the design process ligament attachment positions, femur profile and ligament lengths were taken from cadaver studies. This information was then used as inputs to a simplified kinematic computer model in order to design a valid profile for a tibial condyle. A physical model was then tested on a custom built squatting robot. It was found that although ligament lengths deviated from the designed values the robot moment arm still matched the model to within 6.1% on average. This shows that the simplified model is an effective design tool for this type of joint. It is anticipated that this design, when employed in walking robots, prostheses or exoskeletons, will improve the high load task capability of these devices. In this paper we have outlined and validated a design method to begin to achieve this goal.
在本文中,我们提出了一种双髁关节的设计方法,它模仿了人类膝盖的许多物理机制。我们复制弹性韧带和滑动和滚动关节表面。因此,从股四头肌出发的旋转中心和力臂随着弯曲角度的变化而变化,其方式类似于人类的膝盖。这使得运动中心的力矩臂更大,这是高负载任务最需要的,而极端情况下的力矩臂更小,从而减少了所需的执行器位移。预计这将提高性能:用于楼梯口音和坐立等任务的腿式设备的重量比。在设计过程中,韧带附着位置、股骨轮廓和韧带长度均取自尸体研究。然后将这些信息用作简化的运动学计算机模型的输入,以便为胫骨髁设计有效的轮廓。然后,一个物理模型在一个定制的蹲式机器人上进行测试。研究发现,虽然韧带长度偏离设计值,但机器人力臂与模型的匹配平均在6.1%以内。这表明该简化模型是一种有效的设计工具。预计该设计用于行走机器人、假肢或外骨骼时,将提高这些设备的高负载任务能力。在本文中,我们概述并验证了一种开始实现这一目标的设计方法。
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引用次数: 14
Passive Ankle Joint Stiffness Compensation by a Novel Ankle-Foot-Orthosis 一种新型踝关节-足矫形器的被动踝关节刚度补偿
Karen Rodriguez, J. H. Groot, F. Baas, M. Stijntjes, F. C. T. Helm, H. Kooij, W. Mugge
The stiffness of an Ankle-Foot-Orthosis (AFO) that aims to assist walking affects the gait biomechanics of patients with impaired gait. In patients with equinus (spastic paresis of the lower leg), impaired gait is a consequence of an increased passive ankle joint stiffness (originated from calf muscles) in combination with reduced active muscle strength. Though standard AFOs affect clinically relevant improvements of gait parameters, their designs interfere with the range of motion of the ankle joint. We hypothesize that, by lowering the total passive ankle joint stiffness with the AFO, patient's active range of motion will increase while supporting the patients' muscle forces during gait. We propose a novel AFO design with negative stiffness (nAFO) produced by a spring-loaded CAM follower mechanism. The aim of the device is to compensate for the passive stiffness caused by the calf muscles. This study describes the design, evaluation and walk-ability of the prototype nAFO. Results of the evaluation showed the required compensatory negative stiffness −57.4Nm. rad−1 (in patients up to 76Nm. rad-1) to balance plantar-flexion torque along the range of motion for walking (0.44rad [25°] plantar-flexion to 0.33rad [19°] dorsi-flexion). Assessment on a healthy subject showed passive compensation up to 43.87%. During gait, Tibialis Anterior muscle forces were supported by the nAFO, as observed by a reduced electromyographic signal during swing phase. Though hysteresis of the device has to be reduced, the possibility to compensate for high passive joint stiffness shows promise to increase the active range of motion of the ankle of patients with equinus.
旨在辅助行走的踝足矫形器(AFO)的刚度影响步态受损患者的步态生物力学。马足(下肢痉挛性轻瘫)患者,步态受损是被动踝关节僵硬(源自小腿肌肉)增加与主动肌肉力量减少的结果。虽然标准的afo会影响临床相关的步态参数改善,但其设计会干扰踝关节的活动范围。我们假设,通过使用AFO降低总的被动踝关节僵硬度,患者的主动活动范围将增加,同时支持患者步态时的肌肉力量。我们提出了一种新的由弹簧加载凸轮从动件机构产生负刚度的AFO设计。该装置的目的是补偿由小腿肌肉引起的被动僵硬。本研究描述了原型nAFO的设计、评估和可行走性。评估结果显示所需的补偿负刚度为- 57.4Nm。rad−1(在76Nm以下的患者中)。Rad-1)沿行走运动范围平衡跖屈扭矩(0.44rad[25°]跖屈至0.33rad[19°]背屈)。健康受试者被动代偿率达43.87%。步态时,nAFO支持胫骨前肌的力量,在摆动阶段肌电信号减弱。虽然该装置的迟滞必须减少,但补偿高被动关节僵硬的可能性显示有希望增加马蹄病患者踝关节的主动活动范围。
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引用次数: 5
The Change of Gait Motion During Curvilinear Obstacle Avoidance While Restricted by a Wearable Robotic Device 可穿戴机器人装置约束下曲线避障时步态运动的变化
E. Kramer, Yasuhiro Akiyama, Yusuke Fukui, Yoji Yamada
Lower limb wearable robotic devices designed to aid humans in motion tend to have reduced degrees of freedom (DoF) when compared to human legs. These limit the wearer movement and as a result significantly alter common gait types. One motion that is very integral to everyday life is obstacle avoidance in the form of a curvilinear path. To evaluate the effects a physical assistant robot (PAR) has on such a motion, we conducted a study to compare the gait dynamics of a test subject with and without the PAR restricting their hip movement out of the sagittal plane as they moved around a “S” shaped path. Results showed that hip rotation is the dominant factor which alters natural gait motion with the PAR's restrictions engaged. Center of mass (CoM) trajectories showed that due to rotation restrictions a stable repeatable path was more difficult to obtain when restricted by the device, especially around smaller radii curves. Hip rotation is thus deemed critical to fluid turning and movement of this DoF should be an important factor when designing PAR devices that are used to make curvilinear motions.
与人类的腿相比,用于帮助人类运动的下肢可穿戴机器人设备往往具有较低的自由度(DoF)。这些限制了穿戴者的活动,结果显著改变了常见的步态类型。在日常生活中不可或缺的一项运动是以曲线路径的形式避开障碍物。为了评估物理辅助机器人(PAR)对这种运动的影响,我们进行了一项研究,比较了测试对象在绕“S”形路径移动时,有和没有PAR限制其髋关节运动脱离矢状面时的步态动力学。结果表明,在PAR的限制下,髋关节旋转是改变自然步态运动的主要因素。质心(CoM)轨迹表明,由于旋转限制,当受到设备限制时,特别是在较小半径曲线周围,很难获得稳定的可重复路径。因此,在设计用于进行曲线运动的PAR装置时,髋关节旋转被认为是流体转动的关键,该自由度的运动应该是一个重要因素。
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引用次数: 1
Novel Assessment Measures of Upper-Limb Function in Pre and Poststroke Rehabilitation: A Pilot Study 脑卒中康复前后上肢功能的新评估方法:一项初步研究
Viviane C. R. Appel, Rafael Eras-Garcia, G. R. Chiqueti, L. M. Pedro, D. Cruz, G. Caurin
Hand function assessment is essential for upper limb rehabilitation of stroke survivors. Conventional acquisition devices have inherent and restrictive difficulties for their clinical usage. Data gloves are limited for applications outside the medical environment, and motion tracking systems setup are time and personnel demanding. We propose a novel instrument designed as a replica of a glass, equipped with an omnidirectional vision system to capture hand images and an inertial measurement unit for movements kinematic data acquisition. Four stroke survivors were invited as volunteers in pre and post-treatment experiments for its evaluating. The exercise of drinking water from a glass was elected for the trails. Before treatment, subjects used their contralesional and ipsilateral hands to perform them. Two main functional features were found in the data analysis. There were differences between limbs in the grasping hand postures, mainly in the index and thumb abduction angle, and in the task timing. After treatment, two volunteers repeated the protocol with their contralesional hands. Changes in the features were observed, index and thumb abduction angles were greater in both cases, and tasks timing were altered in distinct ways. These preliminary results suggest the instrument can be used both in evaluation of hand functional deficit and rehabilitation progress. Improvements and future work are also presented.
手功能评估对中风幸存者的上肢康复至关重要。传统的采集装置在临床使用中存在固有的和限制性的困难。数据手套仅限于医疗环境以外的应用,并且运动跟踪系统的设置需要时间和人员。我们提出了一种新的仪器,设计为玻璃的复制品,配备了一个全方位的视觉系统来捕捉手部图像和一个惯性测量单元来获取运动运动学数据。我们邀请了4名中风幸存者作为志愿者进行治疗前和治疗后的实验。从杯子里喝水的练习被选为小径。治疗前,受试者用对侧和同侧手进行。在数据分析中发现了两个主要的功能特征。不同肢体在抓握手的姿势上存在差异,主要表现在食指和拇指外展角度和任务时间上。治疗结束后,两名志愿者用他们对侧的手重复上述步骤。观察到特征的变化,在两种情况下,食指和拇指外展角度都更大,任务时间也以不同的方式改变。这些初步结果表明,该仪器可用于评估手功能缺陷和康复进展。并提出了改进和今后的工作。
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引用次数: 1
Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity 遥动机器人触觉系统的初步测试及游戏活动中视觉注意力的分析
Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, M. Tavakoli, P. Pilarski, K. Adams
Children with physical impairments face great challenges to play because of their limitations, for example, in reaching and grasping obj ects. Children with physical impairments can improve their independence, cognitive, and social skills by playing using robots. In this study, we developed a telerobotic haptic system with two haptic robots, one that is for a child and the other to interact with the environment. The goal of this study was to do preliminary tests of the haptic guidance method and the prediction of targets. Another goal was to explore and analyze the visual attention of the participants during the activity when eye-hand discoordination was induced. Five adults without disabilities played a whack-a-mole game using the robotic system, to assure that the robot works adequately before children with disabilities use it. The robots were programmed to induce eye-hand discoordination, so that haptic guidance would be required. A multi-layer perceptron neural network was implemented to predict the target moles that the participants had to reach, which in future versions, will control the activation of forbidden region virtual fixtures (FRVF) to guide the user towards the target moles. Analysis of participant's eye gaze led to the hypothesis that the less control a person has over the teleoperation system, the less they will look at the target. On average, the accuracy of the target prediction by the neural network was 70.7%. The predicting of targets will allow the robot to assist children during movement of the robot towards the target toy, without needing the children to explicitly point out with their gaze which toy they want to reach. This will potentially lead to a more intuitive and faster human-robot interaction.
身体有缺陷的儿童在游戏中面临着巨大的挑战,因为他们的局限性,例如,在接触和抓住物体方面。有身体缺陷的儿童可以通过玩机器人来提高他们的独立性、认知能力和社交技能。在这项研究中,我们开发了一个远程机器人触觉系统,其中有两个触觉机器人,一个是儿童触觉机器人,另一个是与环境互动的机器人。本研究的目的是对触觉引导方法和目标预测进行初步测试。另一个目的是探讨和分析被试在引起眼手不协调时的视觉注意。五个没有残疾的成年人用机器人系统玩了一场打地鼠游戏,以确保机器人在残疾儿童使用之前能充分工作。这些机器人被编程为诱发眼手不协调,因此需要触觉引导。采用多层感知器神经网络来预测参与者必须到达的目标痣,在未来的版本中,该网络将控制禁止区域虚拟固定装置(FRVF)的激活,以引导用户走向目标痣。对参与者目光的分析得出了一个假设,即一个人对远程操作系统的控制力越弱,他们看目标的次数就越少。平均而言,神经网络对目标的预测准确率为70.7%。对目标的预测将允许机器人在机器人向目标玩具移动时帮助儿童,而不需要儿童明确地用他们的目光指出他们想要达到的玩具。这将有可能导致更直观、更快的人机交互。
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引用次数: 4
Toward Muscle-Driven Control of Wearable Robots: A Real-Time Framework for the Estimation of Neuromuscular States During Human-Exoskeleton Locomotion Tasks 面向可穿戴机器人的肌肉驱动控制:人体外骨骼运动任务中神经肌肉状态估计的实时框架
G. Durandau, Wolfgang F. Rampeltshammer, H. Kooij, Massimo Sartori
The ability to efficiently assist human movement via wearable robotic exoskeletons requires a deep understanding of human-exoskeleton physical interaction. That is, how the exoskeleton affects human movement and how the human body reacts to robotic assistance. In this context, it is central to gain access to human neuromuscular states, i.e. neural activation to muscle, muscle fibers short-stretch cycle, tendon strain, musculotendon viscoelasticity. This would enable the personalized design of assistive devices and human-exoskeleton interfaces with respect to a specific subject's anatomy and force-generating capacity. Here we present a real-time electromyography-driven framework interfaced to a robotic bilateral ankle exoskeleton. This framework provides real-time information about joint and underlying muscle mechanics. We provide a quantitative evaluation of the real-time framework across a repertoire of human-exoskeleton locomotion tasks. We also show how this enables understanding how robotic exoskeletons in parallel to human limbs contribute to alter normative musculoskeletal mechanics. This will open new avenues for the creation of symbiotic exoskeleton technologies that operate as an extension of the own body.
通过可穿戴机器人外骨骼有效地辅助人类运动的能力需要对人类外骨骼物理相互作用的深刻理解。也就是说,外骨骼如何影响人体运动以及人体对机器人辅助的反应。在这种情况下,获得人类神经肌肉状态的访问是核心,即肌肉的神经激活,肌肉纤维短拉伸周期,肌腱应变,肌肉肌腱粘弹性。这将使辅助设备和人体外骨骼接口的个性化设计与特定主体的解剖结构和力量产生能力有关。在这里,我们提出了一个实时肌电驱动的框架接口到一个机器人双侧踝关节外骨骼。这个框架提供了关节和潜在肌肉力学的实时信息。我们提供了一个实时框架的定量评估跨剧目的人类外骨骼运动任务。我们还展示了这如何使理解与人类四肢平行的机器人外骨骼如何有助于改变规范的肌肉骨骼力学。这将为创造共生外骨骼技术开辟新的途径,使其成为人体的延伸。
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引用次数: 2
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2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)
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