Suppressing violent sloshing flow in food serving robots

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Robotics and Autonomous Systems Pub Date : 2024-05-29 DOI:10.1016/j.robot.2024.104728
Jinsuk Choi , Wookyong Kwon , Kwanwoong Yoon , Seongwon Yoon , Young Sam Lee , Soo Jeon , Soohee Han
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Abstract

This article presents the self-balancing slosh-free control (SBSFC) scheme, a notable advancement for stable navigation in food-serving robots. The uniqueness of SBSFC is that it does not require direct modeling of slosh dynamics. Utilizing just two inertial measurement units (IMUs), the proposed scheme offers an online solution, obviating the need for complex dynamics or high-cost supplementary systems. Central to this work is the design of a control strategy favorable for sloshing suppression, achieved through feedforward reference shaping and disturbance compensation. This means the SBSFC indirectly alleviates and compensates for sloshing effects, rather than directly controlling them as a state variable by relying on pixel-based measurements of sloshing. Key contributions include rapid slosh damping via reference shaping, robust posture stabilization through optimal control, and enhanced disturbance handling with a disturbance observer. These strategies synergistically ensure immediate vibration reduction and long-term stability under real-world conditions. This study is expected to lead to a significant leap forward in commercial food-serving robotics.

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抑制上菜机器人的剧烈晃动流
本文介绍了自平衡无湍流控制(SBSFC)方案,这是食品服务机器人稳定导航的一项显著进步。SBSFC 的独特之处在于它不需要对荡流动力学进行直接建模。只需利用两个惯性测量单元(IMU),该方案就能提供在线解决方案,无需复杂的动力学或高成本的辅助系统。这项工作的核心是设计一种有利于抑制荡流的控制策略,通过前馈参考整形和干扰补偿来实现。这意味着 SBSFC 可以间接缓解和补偿荡流效应,而不是依靠基于像素的荡流测量来直接将其作为状态变量进行控制。SBSFC 的主要贡献包括:通过参考塑形快速抑制荡流、通过优化控制实现稳健的姿态稳定,以及通过扰动观测器增强扰动处理能力。这些策略协同作用,可确保在实际条件下立即减少振动并保持长期稳定。这项研究有望为商用食品供应机器人技术带来重大飞跃。
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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