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2 results for “swarm interactions”
Human-Swarm Teaming with Proximal Interactions
<p>Autonomous swarms are capable of accomplishing simple tasks but when it comes to critical situations (e.g., disaster management) they cannot manage the whole mission. By establishing a human-swarm interaction we create a system that can outperform humans or autonomous swarms when working independently. We propose a human-swarm teaming with proximal interactions between human operators and robots in a multi-agent system. One of the major challenges in a human-swarm interaction is acquiring global information about the swarm's state and visualizing it to the human operators. Continuous swarm observation requires global communication between the human operator and the swarm that limits scalability and comes with a high communication cost. In our approach, we only allow one-to-one communications in local neighborhoods between agent-agent and operator-agent. By doing that, we decrease the cognitive complexity of human-swarm interaction to O(1). Agents collectively explore and map the environment by disseminating their observations and incorporating their neighboring agents' maps. Human operators then use these maps to estimate the swarm's state, manipulate the maps to control the swarm, and as a result, determine the level of autonomy of the swarm. We verify our approach with a disaster management scenario where a simulated aerial swarm is spread across a mission zone to explore an environment. Our proposed method for human-swarm teaming with proximal interactions successfully guides a swarm to explore a mission area in a dynamic environment and allows a single operator to control the swarm.</p>
The significance of social interactions in synchronized swarming flight in a termite
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