Anthropomorphic Swarm

Anthropomorphic swarms, particularly those composed of drones, are being developed to achieve complex tasks through coordinated collective behavior mimicking human-like actions. Current research focuses on optimizing swarm efficiency, including energy consumption through formation flying and resilient source-seeking algorithms that maintain functionality despite individual robot failures. A key area of investigation involves using deep learning for gesture recognition to enable intuitive human-swarm interaction, creating anthropomorphic avatars for remote communication and potentially expanding applications in telepresence and human-robot interaction. These advancements hold significant potential for improving the robustness and usability of swarm robotics in various fields.