Gesture-Controlled Aerial Robot Formation for Human-Swarm Interaction in Safety Monitoring Applications
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909697634729984 |
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| author | Krátký, Vít Silano, Giuseppe Vrba, Matouš Papaioannidis, Christos Mademlis, Ioannis Pěnička, Robert Pitas, Ioannis Saska, Martin |
| author_facet | Krátký, Vít Silano, Giuseppe Vrba, Matouš Papaioannidis, Christos Mademlis, Ioannis Pěnička, Robert Pitas, Ioannis Saska, Martin |
| contents | This paper presents a formation control approach for contactless gesture-based Human-Swarm Interaction (HSI) between a team of multi-rotor Unmanned Aerial Vehicles (UAVs) and a human worker. The approach is designed to monitor the safety of human workers, particularly those operating at heights. In the proposed dynamic formation scheme, one UAV acts as the formation leader, equipped with sensors for detecting human workers and recognizing gestures. The follower UAVs maintain a predetermined formation relative to the worker's position, providing additional perspectives of the monitored scene. Hand gestures enable the human worker to specify movement and action commands for the UAV team and to initiate other mission-related tasks without requiring additional communication channels or specific markers. Combined with a novel unified human detection and tracking algorithm, a human position estimation method, and a gesture detection pipeline, the proposed approach represents the first instance of an HSI system incorporating all these modules onboard real-world UAVs. Simulations and field experiments involving three UAVs and a human worker in a mock-up scenario demonstrate the effectiveness and responsiveness of the proposed approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_15333 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Gesture-Controlled Aerial Robot Formation for Human-Swarm Interaction in Safety Monitoring Applications Krátký, Vít Silano, Giuseppe Vrba, Matouš Papaioannidis, Christos Mademlis, Ioannis Pěnička, Robert Pitas, Ioannis Saska, Martin Robotics This paper presents a formation control approach for contactless gesture-based Human-Swarm Interaction (HSI) between a team of multi-rotor Unmanned Aerial Vehicles (UAVs) and a human worker. The approach is designed to monitor the safety of human workers, particularly those operating at heights. In the proposed dynamic formation scheme, one UAV acts as the formation leader, equipped with sensors for detecting human workers and recognizing gestures. The follower UAVs maintain a predetermined formation relative to the worker's position, providing additional perspectives of the monitored scene. Hand gestures enable the human worker to specify movement and action commands for the UAV team and to initiate other mission-related tasks without requiring additional communication channels or specific markers. Combined with a novel unified human detection and tracking algorithm, a human position estimation method, and a gesture detection pipeline, the proposed approach represents the first instance of an HSI system incorporating all these modules onboard real-world UAVs. Simulations and field experiments involving three UAVs and a human worker in a mock-up scenario demonstrate the effectiveness and responsiveness of the proposed approach. |
| title | Gesture-Controlled Aerial Robot Formation for Human-Swarm Interaction in Safety Monitoring Applications |
| topic | Robotics |
| url | https://arxiv.org/abs/2403.15333 |