用可移动机器人组实现声悬浮多模态交互,支持动态协同与自动粒子投放。
AcoustoBots: A swarm of robots for acoustophoretic multimodal interactions
- 将可重构相控阵移植到机器人集群,实现声场灵活调控。
- 双机器人系统验证声悬浮、触觉反馈与定向发声的协同交互。
- 配备粒子输送机械臂,可自动完成悬浮物体的部署与更换。
声聚焦技术实现了悬浮、体显示、空中触觉反馈和定向声源生成等新型多模态交互。然而传统固定式单一单元限制了其动态范围与应用灵活性。本文提出AcoustoBots——一种将可移动可重构相控阵与机器人集群结合的新架构,通过在机器人上搭载相控阵换能器,构建多个可移动声聚焦单元,提升交互灵活性。设计包含铰链驱动机构以调节阵列方向,增强多机器人协同能力。同时开发BeadDispenserBot机器人,可自动将颗粒送至捕获位置,实现声悬浮交互的自动化。该系统支持多模态独立运行与切换,拓展交互空间,实现用户与集群间的双向互动。通过两台移动机器人验证了分布式声控制框架的可行性,为未来大规模部署奠定基础。实验评估了系统性能,并探索其潜在交互场景。
原文摘要 · Abstract (English)
Acoustophoresis has enabled novel interaction capabilities, such as levitation, volumetric displays, mid-air haptic feedback, and directional sound generation, to open new forms of multimodal interactions. However, its traditional implementation as a singular static unit limits its dynamic range and application versatility. This paper introduces AcoustoBots - a novel convergence of acoustophoresis with a movable and reconfigurable phased array of transducers for enhanced application versatility. We mount a phased array of transducers on a swarm of robots to harness the benefits of multiple mobile acoustophoretic units. This offers a more flexible and interactive platform that enables a swarm of acoustophoretic multimodal interactions. Our novel AcoustoBots design includes a hinge actuation system that controls the orientation of the mounted phased array of transducers to achieve high flexibility in a swarm of acoustophoretic multimodal interactions. In addition, we designed a BeadDispenserBot that can deliver particles to trapping locations, which automates the acoustic levitation interaction. These attributes allow AcoustoBots to independently work for a common cause and interchange between modalities, allowing for novel augmentations (e.g., a swarm of haptics, audio, and levitation) and bilateral interactions with users in an expanded interaction area. We detail our design considerations, challenges, and methodological approach to extend acoustophoretic central control in distributed settings. This work demonstrates a scalable acoustic control framework with two mobile robots, laying the groundwork for future deployment in larger robotic swarms. Finally, we characterize the performance of our AcoustoBots and explore the potential interactive scenarios they can enable.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。