Applying Screw Theory to Design the Turmell-Bot: A Cable-Driven, Reconfigurable Ankle Rehabilitation Parallel Robot

IF 2.9 Q2 ROBOTICS Robotics Pub Date : 2023-11-14 DOI:10.3390/robotics12060154
Julio Vargas-Riaño, Óscar Agudelo-Varela, Ángel Valera
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Abstract

The ankle is a complex joint with a high injury incidence. Rehabilitation Robotics applied to the ankle is a very active research field. We present the kinematics and statics of a cable-driven reconfigurable ankle rehabilitation robot. First, we studied how the tendons pull mid-foot bones around the talocrural and subtalar axes. We proposed a hybrid serial-parallel mechanism analogous to the ankle. Then, using screw theory, we synthesized a cable-driven robot with the human ankle in the closed-loop kinematics. We incorporated a draw-wire sensor to measure the axes’ pose and compute the product of exponentials. We also reconfigured the cables to balance the tension and pressure forces using the axis projection on the base and platform planes. Furthermore, we computed the workspace to show that the reconfigurable design fits several sizes. The data used are from anthropometry and statistics. Finally, we validated the robot’s statics with MuJoCo for various cable length groups corresponding to the axes’ range of motion. We suggested a platform adjusting system and an alignment method. The design is lightweight, and the cable-driven robot has advantages over rigid parallel robots, such as Stewart platforms. We will use compliant actuators for enhancing human–robot interaction.
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应用螺旋理论设计turmel - bot:一种缆索驱动、可重构踝关节康复并联机器人
踝关节是一个复杂的关节,损伤发生率高。应用于踝关节的康复机器人是一个非常活跃的研究领域。我们提出了一种缆索驱动的可重构踝关节康复机器人的运动学和静力学。首先,我们研究了肌腱如何牵引距骨和距下轴周围的足中部骨骼。我们提出了一种类似于踝关节的混合串并联机构。在此基础上,利用螺旋理论,合成了一种以人踝关节为运动闭环的缆索驱动机器人。我们加入了一个拉线传感器来测量轴的姿态并计算指数的乘积。我们还重新配置了电缆,利用基座和平台平面上的轴投影来平衡张力和压力。此外,我们计算了工作空间,以表明可重构设计适合多种尺寸。使用的数据来自人体测量学和统计学。最后,我们使用MuJoCo验证了与轴的运动范围相对应的各种电缆长度组的机器人静力学。提出了一种平台调节系统和对准方法。这种设计很轻,缆索驱动的机器人比刚性并联机器人(如Stewart平台)有优势。我们将使用柔性执行器来增强人机交互。
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来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
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