Autonomous Navigation & Planning
Open-source planning, avoidance, MPC and multi-agent stacks for autonomous UAV flight.
Last reviewed 8/13/2026. Data checked within the review cycle.
Review cycles are documented on the Methodology page. Methodology
11 indexed resources · Reviewed 8/13/2026
Problem statement
How do I pick a planner or swarm framework that matches my vehicle and mission?
Audience and prerequisites
UAV autonomy engineers evaluating planning, avoidance and multi-agent coordination
Layered technology path
Local replanners
Reactive local planning and obstacle avoidance for aggressive flight.
Required
Optional
Selection: Editorial review of official repositories
Swarm and multi-agent coordination
Frameworks for multi-UAV planning, coordination and simulation.
Required
Selection: Editorial review of official repositories
Full autonomous platforms
Integrated UAV autonomy platforms bundling planning with control and compute.
Required
Selection: Editorial review of official repositories
Validation sequence
- Record each system's sensor input, license and maintenance status.
- Run each planner in its documented simulation before hardware work.
- Verify compute footprint and vehicle assumptions against your platform before adoption.
Known boundaries
- Simulation results are not flight hardware validation.
- This collection indexes repositories; it does not certify airworthiness or compatibility of any combination.
- Planners tuned for one vehicle class are not interchangeable across platforms.