3/3 We also provide ad-hoc networking and multi-robot coordination for mission planning. All code is #opensource and available for download on GitHub.

Project page: mistlab.ca/MGGPlanner/
Paper: ieeexplore.ieee.org/iel8/7083369...
Code: github.com/MISTLab/MGGP...
Video: youtu.be/Fv8B0Ml0KCY?...

2/3 We tested the planner at the Canadian Space Agency Mars Yard with multiple rovers using lidar-inertial sensing and show superior exploration coverage as well as 50% lower runtime compared to state-of-the-art methods.

I'm really excited about structure from motion, which is having a real renaissance (ACE0, FlowMap, MASt3R-SfM, VGGSfM, GLOMAP, etc). It will be cool to see how SfM methods interact with VLMs -- SfM always seems like the last problem to jump on the latest bandwagon, but maybe that will change.

Hello and welcome! (I'm one of your colleagues :)

The migration is happening!

That's a great point! There has been a few works in this area (including ours) and there's a lot more to do:
Modeling RL with delays to maintain the Markov assumption
openreview.net/forum?id=QFY...
Learning variable control rates and adapting action duration
arxiv.org/html/2407.00...