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Interested in getting hands-on with Newton? The newly released Newton Learning Path will help you set up a ready-to-run environment, dive into Newton abstractions, and show you how to build your first simulation. Get started with learning path today:

10,507 views • 7 days ago •via X (Twitter)

7 Comments

Sam's profile picture
Sam7 days ago

Hello can you tell me where can I find the isaaclab examples with mpm particles that you showed in the video ? I tried to scoop the particles using a spoon,, but the gap between the particles and spoon is big I'm not able to scoop at all

NVIDIA Robotics's profile picture
NVIDIA Robotics7 days ago

@msn_muhn - I’d recommend checking out these files in the develop branch: UR10 Particle Push: Franka Pour:

Sam's profile picture
Sam6 days ago

Thanks!

WallieGorgon's profile picture
WallieGorgon7 days ago

Building custom simulations without touching low-level CUDA is the ultimate win for robotics devs

Kumazori 💙's profile picture
Kumazori 💙7 days ago

this is the kind of learning path i actually like! give me something to build and i'll figure it out as i go😅

Muhammad Ahmed's profile picture
Muhammad Ahmed7 days ago

Starting with a ready-to-run Newton setup lowers the barrier to learning the abstractions. Does the path reach contact tuning and sim-to-real validation, or stay focused on first simulations?

0xAIBrain's profile picture
0xAIBrain6 days ago

A good follow-up exercise would change exactly one physical parameter after the baseline works—friction, damping or control frequency—and record success rate across repeated initial states. That turns setup completion into an actual simulation experiment.

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