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9:54 AM · Jun 6, 2026 · 7K Views
MAGICIAN active mapping uses imagined 3D Gaussians to help robots plan exploration and reduce redundant physical paths
Physical validation succeeded using drones and toy cars.
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Sentiment
Positive users praise the MAGICIAN paper for tackling priors, common sense, and robotic trajectory planning with imagined Gaussians, while negative users call it overhyped and not as deep as claimed.
Pos
50.0%
Neg
50.0%
4 comments with sentiment.
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VIEWS171LIKES2
Nils@broodsugar
@chris_j_paxton Yelp reviews.
5hViews 171Likes 2
REPLIES1
Blissy@BlissyOnX
@chris_j_paxton training data and a lot of failed attempts tbh
you guys made it sound way deeper than it is
20hViews 61Likes 1
Chris von Csefalvay 🔜 CVPR26@epichrisis
I loved this poster because I saw it and I recognised the problem -- we come across it in the context of planning robotic trajectories for inspection camera carriers. What's the shortest time, best path, minimum effort, minimum risk/disruption cost with which I can get a decent walkaround of the object? I loved their solution of constructing essentially the inverse problem.
8hViews 155Likes 1
Steven Marlow@sd_marlow
@chris_j_paxton Now we are addressing priors, common sense, and "general" intelligence in the correct way.
19hViews 50
Chinmay Mundane@ChinmayMundane
@ftm_guney This year's 3d bitterness might have had a hand for not being in best paper finalist.
5hViews 40
Chris Paxton@chris_j_paxton
@BlissyOnX Yeah thats life for you
19hViews 24