Prompt
Can you recommend a path planning API for last-meter delivery robots?
Latest observation
Yes — but the “best” path planning API depends a lot on what you mean by last-meter delivery robots.
For sidewalk / indoor / campus robots, you usually want an API or stack that supports:
- 2D navigation on local maps
- Obstacle avoidance
- Dynamic re-planning
- Waypoint routing
- Optional ROS / ROS 2 integration
- Support for non-holonomic robots if needed
- Low-latency onboard use, not just cloud route planning
Good options
1. ROS 2 Nav2
Best overall if you’re building a real robot.
- Open-source navigation stack for ROS 2
- Includes global and local planners, recovery behaviors, costmaps
- Works well for differential drive / Ackermann / omnidirectional platforms
- Good for indoor and semi-structured outdoor environments
- Very extensible
Use if: you control the robot software stack and want production-grade autonomy.
Why it’s strong: it’s the standard choice for many delivery robot prototypes and commercial systems.
2. Move Base Flex / ROS navigation stacks
Good if you are on ROS 1 or need legacy support.
- Older than Nav2 but still used
- Integrates planning and control modules
- Less future-facing than ROS 2 Nav2
3. OpenRMF / RMF navigation integration
Best for fleet / multi-robot delivery in buildings.
- Designed for coordinating multiple robots
- Handles traffic scheduling, task dispatch, and map-based movement
- Often used for hospitals, offices, warehouses
Use if: your “last meter” is part of a larger indoor fleet operation.
4. Here, Google Maps, Mapbox — not ideal for robot-level planning
These are great for human navigation and route planning, but usually not sufficient alone for robot motion planning because they don’t provide:
- local obstacle avoidance
- occupancy-grid planning
- control-level planning
- robot-specific constraints
Use if: you only need high-level geocoding or street routing to reach a drop-off zone, then hand off to onboard planning.
5. Commercial robotics middleware / SDKs
Examples include vendors that provide:
- localization
- SLAM
- planning
- fleet management
These can be easier if you want a turnkey solution, but they’re vendor-specific.
Use if: you want faster deployment and can accept lock-in.
My practical recommendation
If you are building the robot yourself:
- ROS 2 + Nav2
- Add:
- SLAM toolbox or another mapping/localization solution
- a local obstacle detector
- a custom costmap layer for delivery-specific constraints
If you are managing multiple delivery robots:
- ROS 2 Nav2 + OpenRMF
If you only need route-to-destination at a city/campus level:
- Use Mapbox / Google / HERE for coarse routing
- Then use Nav2 onboard for the final approach
What to look for in an API
When evaluating one, ask:
- Does it support dynamic obstacles?
- Can it handle tight spaces and narrow passages?
- Does it support waypoints and goal tolerances?
- Does it work with lidar / depth / vision?
- Can it run onboard in real time?
- Does it support replanning when blocked?
- Is there ROS 2 support?
- Does it support fleet coordination if you scale up?
Bottom line
If you want a single recommendation: ROS 2 Nav2 is the strongest general-purpose path planning solution for last-meter delivery robots.
If you want, I can also recommend:
- a specific stack by robot type (indoor, sidewalk, warehouse, campus), or
- a cloud API vs onboard navigation comparison.
Observation history
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