ROS Resources: Documentation | Support | Discussion Forum | Index | Service Status | ros @ Robotics Stack Exchange
Ask Your Question
1

Best way of using nav2 to navigate continuously through indoors and outdoors environments

asked 2023-02-17 08:39:23 -0500

Pepis gravatar image

updated 2023-02-21 07:40:16 -0500

Hi!

I’m currently working on a robot that has to navigate autonomously in both outdoors and indoors environments. I’m using nav2 to navigate outdoors (GPS) and indoors independently, but switching from one mode to another requires restarting the whole stack; for that reason I was wondering if there would be a proper way of doing this switch in runtime. Some things like the controller, planner, behaviors are the same for both modes, however this is roughly what changes on each.

Outdoors:

  • Localization: GPS based, using robot_localization (RL) with the dual ekf architecture
  • Global Costmap: Rolling costmap centered on the robot, no static layer, uses some extra custom layers.
  • Navigators: Custom BT navigator analogous to NavigateThroughPoses but receives GPS poses instead of cartesian poses. GPS poses come from a web based routing engine / map (google maps like)

Indoors:

  • Localization: AMCL based, I build a map using slam and then localize in it.
  • Global Costmap: Sized according to the static layer holding the map built with SLAM. Some layers that are used outdoors are not used indoors.
  • Navigators: NavigateThroughPoses, just the usual setup.

With the above in mind, I see the following challenges:

Localization: When passing a certain transition point (ex: a door, will likely be labeled in both the indoors and outdoors map) the global transform (map->odom or map->base_link) needs to stop coming from RL and start coming from AMCL if coming from outdoors to indoors (or vice versa). Additionally, when getting indoors the initial pose needs to be set in the location where the transition point is. Things could get easier if indoors and outdoors localization matched cartesianly (meaning that the cartesian coordinates of doors would be the same in both modes), however it could be hard to get this consistency on locations having multiple doors due to SLAM drift at mapping time. RL can’t be used indoors because GPS will suffer severe degradation and will no longer work as an absolute localization source as would the SLAM map + AMCL. I was thinking the best way to achieve this would be to have a custom lifecycle manager for localization that handles that switch on demand, however unfortunately RL does not use a lifecycle, so that’s a feature I would have to add at least to stop /tf. That wouldn’t be too complicated IMO but I wanted to ask the community if there could be a better way to do this.

Global Costmap: When switching drive mode, global costmap has to be virtually reset. Layers need to be added or removed, it may start or stop rolling along with the robot and its dimensions / resolution may change dramatically. I’m not sure to what degree this can be achieved using dynamic parameters reconfiguration, so to overcome this I was thinking about having two planner servers (one for indoors and one for outdoors), and managing them through lifecycle. Not very elegant IMO, so I would really appreciate your input on this one.

Navigation ... (more)

edit retag flag offensive close merge delete

1 Answer

Sort by » oldest newest most voted
2

answered 2023-06-05 02:57:10 -0500

Tom Moore gravatar image

I can only speak to r_l in this case, but navsat_transform_node was designed to permit moving from indoors to outdoors and vice-versa. The problem, as you said, is generating a consistent coordinate frame between amcl and your EKF instance.

If it were me, I'd try fuse instead (it's been released for ROS 2). You'll still need navsat_transform_node from r_l, but fuse will let you fuse both the output from navsat_transform_node and amcl. Just enable differential mode on one or both of them. There could be some experimentation required; I don't think I've seen anyone try this particular setup yet.

edit flag offensive delete link more

Question Tools

2 followers

Stats

Asked: 2023-02-17 08:39:23 -0500

Seen: 758 times

Last updated: Jun 05 '23