50 points by modinfo 3 days ago | 7 comments
tlb 27 minutes ago
MuJoCo is great. I have it running in the browser for robotics simulation. See for example https://visibot.com/sheet/examples/humanoid_walking.v
cachius 2 hours ago
This is what StuffMadeHere used in his latest video to simulate a mini-golf course! https://www.youtube.com/watch?v=2OfjZ3ORJfc&t=368s

The physics engine I'm using is called MuJoCo. And if you're wondering why I didn't write my own physics engine, it's basically because I don't have 20 years.

prathje 1 hour ago
That the calibration got the simulation so close to reality was quite impressive.
prathje 1 hour ago
We are using MuJoCo to train a G1 humanoid robot right now. The best thing is that we do not need to fight with NVIDIA software and that it runs on macOS.

PS: I just finished a first draft for agentic skills around working with MuJoCo in Python. Feel free to check them out here: https://github.com/prathje/agentic_mujoco_skills

zokier 1 hour ago
Mujoco is also key part of nvidias Newton physics system

https://github.com/newton-physics/newton

sheepscreek 37 minutes ago
This makes me so happy and excited! Often my mind wanders into the unknown, imagining what would happy to X if it did this? Would it have friction, etc?

I am looking forward to a way I can easily describe a scenario and have an LLM build a legitimate simulation for it. No more hypothetical talk! Next best thing to actual experimentation (can be a useful tool in convincing others to join you/support you in said real experiment - “see? I tested it in a simulation and it behaves exactly that way! We need to try this..”).

ai_fry_ur_brain 29 minutes ago
Build things yourself. Using LLMs doesnt help you understand anything, they will just give you an annoying case of dunning kruger. Using them will only make you retart-d
4corners4sides 3 hours ago
People have made cool racing education simulators with this too: https://github.com/FT-Autonomous/ft_grandprix.
xingyi_dev 1 hour ago
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