Swarm of micro flying robots in the wild
Huzhou University · Zhejiang University · +2 more institutions
Abstract
Aerial robots are widely deployed, but highly cluttered environments such as dense forests remain inaccessible to drones and even more so to swarms of drones. In these scenarios, previously unknown surroundings and narrow corridors combined with requirements of swarm coordination can create challenges. To enable swarm navigation in the wild, we develop miniature but fully autonomous drones with a trajectory planner that can function in a timely and accurate manner based on limited information from onboard sensors. The planning problem satisfies various task requirements including flight efficiency, obstacle avoidance, and inter-robot collision avoidance, dynamical feasibility, swarm coordination, and so on,…
Citation impact
- FWCI
- 49.22
- Percentile
- 100%
- References
- 52
Authors
11Topics & keywords
- Swarm behaviour
- Trajectory
- Swarm robotics
- Robot
- Drone
- Obstacle avoidance
- Computer science
- Benchmark (surveying)