StaccaToe: A Single-Leg Robot that Mimics the Human Leg and Toe

التفاصيل البيبلوغرافية
العنوان: StaccaToe: A Single-Leg Robot that Mimics the Human Leg and Toe
المؤلفون: Perera, Nisal, Yu, Shangqun, Marew, Daniel, Tang, Mack, Suzuki, Ken, McCormack, Aidan, Zhu, Shifan, Kim, Yong-Jae, Kim, Donghyun
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Robotics
الوصف: We introduce StaccaToe, a human-scale, electric motor-powered single-leg robot designed to rival the agility of human locomotion through two distinctive attributes: an actuated toe and a co-actuation configuration inspired by the human leg. Leveraging the foundational design of HyperLeg's lower leg mechanism, we develop a stand-alone robot by incorporating new link designs, custom-designed power electronics, and a refined control system. Unlike previous jumping robots that rely on either special mechanisms (e.g., springs and clutches) or hydraulic/pneumatic actuators, StaccaToe employs electric motors without energy storage mechanisms. This choice underscores our ultimate goal of developing a practical, high-performance humanoid robot capable of human-like, stable walking as well as explosive dynamic movements. In this paper, we aim to empirically evaluate the balance capability and the exertion of explosive ground reaction forces of our toe and co-actuation mechanisms. Throughout extensive hardware and controller development, StaccaToe showcases its control fidelity by demonstrating a balanced tip-toe stance and dynamic jump. This study is significant for three key reasons: 1) StaccaToe represents the first human-scale, electric motor-driven single-leg robot to execute dynamic maneuvers without relying on specialized mechanisms; 2) our research provides empirical evidence of the benefits of replicating critical human leg attributes in robotic design; and 3) we explain the design process for creating agile legged robots, the details that have been scantily covered in academic literature.
Comment: Submitted to 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2404.05039
رقم الأكسشن: edsarx.2404.05039
قاعدة البيانات: arXiv