SCALER:用于极端地形自由攀爬的多功能多肢机器人

IF 10.5 1区 计算机科学 Q1 ROBOTICS
Yusuke Tanaka;Yuki Shirai;Alexander Schperberg;Xuan Lin;Dennis Hong
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引用次数: 0

摘要

本文介绍了一种多肢自由攀爬机器人(SCALER)。SCALER是一种多肢自由攀爬机器人,可实现紧密耦合同步运动和灵巧抓取。虽然现有的四足机器人已经展示了令人印象深刻的灵巧能力,但实现高功率运动和精确抓取之间的平衡仍然是一个关键的挑战。我们设计了躯干机构和并联-串行肢体,以满足硬件设计中存在的独特挑战。SCALER采用欠驱动的两指GOAT抓取器,可以机械地适应并提供七种抓取模式,使SCALER能够通过多模式抓取策略穿越极端地形。我们研究了全身方法,其中SCALER利用其身体和四肢产生额外的力,以在各种环境中稳定抓取,从而进一步增强其多功能性。此外,我们以闭环控制的方式提高了GOAT抓取器的驱动速度,以实现更动态的爬升。利用这些技术,SCALER可以在地心引力作用下穿越垂直、悬垂、倒立、光滑的地形和带有非凸形攀爬点的巨石墙。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SCALER: Versatile Multilimbed Robot for Free-Climbing in Extreme Terrains
This article presents Spine-enhanced Climbing Autonomous Limbed Exploration Robot (SCALER), a versatile free-climbing multilimbed robot that is designed to achieve tightly coupled simultaneous locomotion and dexterous grasping. While existing quadrupedal-limbed robots have demonstrated impressive dexterous capabilities, achieving a balance between power-demanding locomotion and precise grasping remains a critical challenge. We design a torso mechanism and a parallel–serial limb to meet the conflicting requirements that pose unique challenges in hardware design. SCALER employs underactuated two-fingered GOAT grippers that can mechanically adapt and offer seven modes of grasping, enabling SCALER to traverse extreme terrains with multimodal grasping strategies. We study the whole-body approach, where SCALER utilizes its body and limbs to generate additional forces for stable grasping in various environments, thereby further enhancing its versatility. Furthermore, we improve the GOAT gripper actuation speed to realize more dynamic climbing in a closed-loop control fashion. With these proposed technologies, SCALER can traverse vertical, overhanging, upside-down, slippery terrains and bouldering walls with nonconvex-shaped climbing holds under the Earth’s gravity.
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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