论文标题

部分可观测时空混沌系统的无模型预测

DandelionTouch: High Fidelity Haptic Rendering of Soft Objects in VR by a Swarm of Drones

论文作者

Fedoseev, Aleksey, Baza, Ahmed, Gupta, Ayush, Dorzhieva, Ekaterina, Gujarathi, Riya Neelesh, Tsetserukou, Dzmitry

论文摘要

为了在高移动性虚拟环境中实现柔软物体的高富度触觉渲染,我们提出了一种新颖的触觉dandeliontouch。一群无人机将触觉执行器交付给用户的指尖。 DandelionTouch的用户能够在不受设备工作区域限制的大空间中体验触觉反馈。重要的是,在与虚拟物体的长时间互动中,他们不会遇到肌肉疲劳。手动跟踪和群控制算法允许用手动运动引导群,并避免在编队内部发生冲突。 在这项研究中,研究了群体之间阻抗连接的几种拓扑结构。该实验在实时在正方形轨迹上执行了一项遵循点的实验,该实验表明,与其他障碍拓扑相比,恒星拓扑连接的无人机执行了轨迹的轨迹(RMSE降低了20.6%,与潜在的基于基于现场的淋巴机的损失拓扑相比降低了40.9%)。所有地层中的无人机速度比电场算法控制的群体高28%。 此外,在与7名参与者的用户研究中评估了几种纤维骨架模式的感知。该研究表明,时间延迟和频率调制的建议组合使用户可以同时成功识别VR中的表面特性和运动方向(平均识别率为70%,最大为93%)。 DandelionTouch建议在VR系统中一种新型的触觉反馈,无需手持或可穿戴界面。

To achieve high fidelity haptic rendering of soft objects in a high mobility virtual environment, we propose a novel haptic display DandelionTouch. The tactile actuators are delivered to the fingertips of the user by a swarm of drones. Users of DandelionTouch are capable of experiencing tactile feedback in a large space that is not limited by the device's working area. Importantly, they will not experience muscle fatigue during long interactions with virtual objects. Hand tracking and swarm control algorithm allow guiding the swarm with hand motions and avoid collisions inside the formation. Several topologies of the impedance connection between swarm units were investigated in this research. The experiment, in which drones performed a point following task on a square trajectory in real-time, revealed that drones connected in a Star topology performed the trajectory with low mean positional error (RMSE decreased by 20.6% in comparison with other impedance topologies and by 40.9% in comparison with potential field-based swarm control). The achieved velocities of the drones in all formations with impedance behavior were 28% higher than for the swarm controlled with the potential field algorithm. Additionally, the perception of several vibrotactile patterns was evaluated in a user study with 7 participants. The study has shown that the proposed combination of temporal delay and frequency modulation allows users to successfully recognize the surface property and motion direction in VR simultaneously (mean recognition rate of 70%, maximum of 93%). DandelionTouch suggests a new type of haptic feedback in VR systems where no hand-held or wearable interface is required.

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