๐ค AI Summary
To address weak obstacle perception, unidirectional tactile feedback (e.g., haptic joysticks), operational interference, and poor stability in drone teleoperation, this paper proposes a wearable multi-directional vibrotactile feedback system. Our approach integrates perception-driven spatial optimization of vibratory actuators with the novel MultiCBF (Multi-directional Control Barrier Function) algorithm to enable high-fidelity, non-intrusive, synchronous multi-directional tactile encoding of obstacleๆนไฝโfully decoupling feedback from control input. The system is implemented using a wearable vibrotactile actuator array and rigorously evaluated via a human-in-the-loop experimental paradigm. Results demonstrate significant reductions in collision rate and control conflicts compared to the no-feedback baseline. Subjective evaluations indicate superior effectiveness over force feedback, enhanced situation awareness, and comparable cognitive load. This work advances wearable haptics for safe, intuitive, and cognitively efficient aerial teleoperation.
๐ Abstract
Haptic feedback enhances collision avoidance by providing directional obstacle information to operators during unmanned aerial vehicle (UAV) teleoperation. However, such feedback is often rendered via haptic joysticks, which are unfamiliar to UAV operators and limited to single-direction force feedback. Additionally, the direct coupling between the input device and the feedback method diminishes operators' sense of control and induces oscillatory movements. To overcome these limitations, we propose AeroHaptix, a wearable haptic feedback system that uses spatial vibrations to simultaneously communicate multiple obstacle directions to operators, without interfering with their input control. The layout of vibrotactile actuators was optimized via a perceptual study to eliminate perceptual biases and achieve uniform spatial coverage. A novel rendering algorithm, MultiCBF, extended control barrier functions to support multi-directional feedback. Our system evaluation showed that compared to a no-feedback condition, AeroHaptix effectively reduced the number of collisions and input disagreement. Furthermore, operators reported that AeroHaptix was more helpful than force feedback, with improved situational awareness and comparable workload.