/AI3h ago

ICRA 2026 awards Best Robot Learning Paper to research showing camera conditioning enables view-invariant robotic policy learning

The work reinforces the necessity of 3D geometric understanding.

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VIEWS3.6KBOOKMARKS20LIKES41
Yu Xiang@YuXiang_IRVL

Just in time: the Best Paper Award in Robot Learning #ICRA2026 uses 3D camera pose to improve policy learning.

Pretty straightforward: robots live in a 3D world.

Image credit: @CSProfKGD

Yu Xiang@YuXiang_IRVL

Have to disagree that robotics should not care about 3D.

Robots operate in a 3D world. Hand-eye calibration, 3D perception, grasp planning, motion planning, and contact-rich manipulation all rely on 3D geometry.

3D remains fundamental to robotics.

2hViews 3.6KLikes 41Bookmarks 20
RETWEETS4
Yu Xiang@YuXiang_IRVL

Just in time: the Best Paper Award in Robot Learning #ICRA2026 uses 3D camera pose to improve policy learning.

Pretty straightforward: robots live in a 3D world.

Image credit: @CSProfKGD

Yu Xiang@YuXiang_IRVL

Have to disagree that robotics should not care about 3D.

Robots operate in a 3D world. Hand-eye calibration, 3D perception, grasp planning, motion planning, and contact-rich manipulation all rely on 3D geometry.

3D remains fundamental to robotics.

2hViews 3.6KLikes 41Bookmarks 20
REPLIES1
Chris Paxton@chris_j_paxton

There may be some debate about HOW to do it but its clear robots need a good understanding of 3d

Yu Xiang@YuXiang_IRVL

Just in time: the Best Paper Award in Robot Learning #ICRA2026 uses 3D camera pose to improve policy learning.

Pretty straightforward: robots live in a 3D world.

Image credit: @CSProfKGD

1hViews 983Likes 11Bookmarks 5