NU-Biped-4.5:轻量级、低原型成本的全尺寸双足机器人

IF 2.9 Q2 ROBOTICS Robotics Pub Date : 2023-12-31 DOI:10.3390/robotics13010009
Michele Folgheraiter, Sharafatdin Yessirkepov, T. Umurzakov
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引用次数: 0

摘要

本文介绍了纳扎尔巴耶夫大学仿人机器人实验室开发的新型轻型全尺寸双足机器人的设计。该机器人配备 12 个自由度 (DOF),高 1.1 米,重仅 15 千克(不包括电池)。由于采用了简单的机械设计并使用了现成的部件,原型机的总成本保持在 5000 美元以下。内部开发的高性能伺服电机使机器人的执行系统能够产生高达 2400 W 的机械功率,功率重量比为 160 W/kg。在介绍机械和电气设计细节的同时,还介绍了使用连续螺杆位移法建立的正向运动学模型,以及逆向运动学的求解方法。在模拟环境和实际原型上进行的测试表明,机器人能够准确地按照参考关节轨迹执行准静态步态,平均功耗为 496 瓦。
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NU-Biped-4.5: A Lightweight and Low-Prototyping-Cost Full-Size Bipedal Robot
This paper presents the design of a new lightweight, full-size bipedal robot developed in the Humanoid Robotics Laboratory at Nazarbayev University. The robot, equipped with 12 degrees of freedom (DOFs), stands at 1.1 m tall and weighs only 15 kg (excluding the battery). Through the implementation of a simple mechanical design and the utilization of off-the-shelf components, the overall prototype cost remained under USD 5000. The incorporation of high-performance in-house-developed servomotors enables the robot’s actuation system to generate up to 2400 W of mechanical power, resulting in a power-to-weight ratio of 160 W/kg. The details of the mechanical and electrical design are presented alongside the formalization of the forward kinematic model using the successive screw displacement method and the solution of the inverse kinematics. Tests conducted in both a simulation environment and on the real prototype demonstrate that the robot is capable of accurately following the reference joint trajectories to execute a quasi-static gait, achieving an average power consumption of 496 W.
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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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