约束一致的面向任务的全身机器人公式:任务、姿势、约束、多触点和平衡

IF 7.5 1区 计算机科学 Q1 ROBOTICS
O. Khatib, Mikael Jorda, Jaeheung Park, L. Sentis, S. Chung
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引用次数: 0

摘要

我们对高维机器人系统的控制问题提出了一个全面的公式,该系统涉及受各种约束、障碍、平衡和接触挑战的复杂任务。该方法使用直观和自然的表示,通过为任务及其约束建立个人目标来启动。然后为每个目标设计使用人工势场的简单独立控制器,以在实施约束的同时达到目标。采用与任务和约束表示相关联的零空间中的动态一致投影来提供连贯的全身机器人控制。在多环节多接触任务中,接触力产生合力和内力。内力在机器人的平衡和稳定性中起着关键作用,在该框架中,通过建模和控制虚拟连杆来实现,这些虚拟连杆明确描述了多连杆多接触欠驱动机器人的主动/被动接触力、合力、受控/非受控内力之间的关系。控制与环境的接触涉及材料因素,如摩擦和几何约束。潜在的障碍物指导接触力的选择,确保稳定性和平衡性。这种动态投影和虚拟连杆模型的方法解决了机器人的欠驱动问题。此外,该框架引入了坐标完成机制,以建立任务的广义坐标表示,消除冗余并保持完整的操作空间动力学描述。这使得能够基于相关惯性特性进行任务空间动态控制。我们在一个物理类人平台上进行了实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constraint-consistent task-oriented whole-body robot formulation: Task, posture, constraints, multiple contacts, and balance
We present a comprehensive formulation to the problem of controlling a high-dimensional robotic system involving complex tasks subject to a variety of constraints, obstacles, balance, and contact challenges. Using intuitive and natural representations, the approach is initiated by establishing individual objectives for a task and its constraints. Simple independent controllers using artificial potential fields are then designed for each objective to reach goals while enforcing the constraints. Dynamically consistent projections in nullspaces associated with task and constraint representations are employed to deliver a coherent whole-body robot control. In multi-link multi-contact tasks, contact forces produce both resulting and internal forces. Internal forces play a critical role in robot balance and stability, achieved in this framework through modeling and controlling virtual linkages that explicitly describe the relationship between active/passive contact force, resultant force, controlled/uncontrolled internal force for multi-link multi-contact underactuated robots. Control of contacts with the environment involves material considerations such as friction and geometric constraints. Potential barriers direct the selection of contact forces ensuring stability and balance. This approach of dynamic projection and the Virtual Linkage Model addresses robot underactuation. In addition, the framework introduces a coordinate completion mechanism to establish a generalized coordinates representation of the task, removing redundancy and maintaining the full operational space dynamics description. This enables task-space dynamic control based on the relevant inertial properties. We present the experimental validation on a physical humanoid platform.
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来源期刊
International Journal of Robotics Research
International Journal of Robotics Research 工程技术-机器人学
CiteScore
22.20
自引率
0.00%
发文量
34
审稿时长
6-12 weeks
期刊介绍: The International Journal of Robotics Research (IJRR) has been a leading peer-reviewed publication in the field for over two decades. It holds the distinction of being the first scholarly journal dedicated to robotics research. IJRR presents cutting-edge and thought-provoking original research papers, articles, and reviews that delve into groundbreaking trends, technical advancements, and theoretical developments in robotics. Renowned scholars and practitioners contribute to its content, offering their expertise and insights. This journal covers a wide range of topics, going beyond narrow technical advancements to encompass various aspects of robotics. The primary aim of IJRR is to publish work that has lasting value for the scientific and technological advancement of the field. Only original, robust, and practical research that can serve as a foundation for further progress is considered for publication. The focus is on producing content that will remain valuable and relevant over time. In summary, IJRR stands as a prestigious publication that drives innovation and knowledge in robotics research.
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