Rigyd
Simulation-ready 3D assets for robotics simulation, at scale
180 followers
Simulation-ready 3D assets for robotics simulation, at scale
180 followers
Robot learning is only as good as its data. For sim-first teams, success depends on domain randomization. Train a humanoid in 1M simulated kitchens so it doesn't fail in the real one. Or train a robotic arm on thousands of objects of varying sizes, masses, and materials. Both require physics-accurate 3D content at scale. Most teams don't have it. Rigyd auto-generates and randomizes physics-accurate 3D objects and worlds at scale, unlocking sim-to-real scenarios that were previously impossible.
Mikrolo
Congrats on the launch! Rooting for Rigyd today.
@affan_dindar thanks for your support, Affan 🚀
UserGuiding
Congrats and good luck on the launch! Looks amazing
@mert_aktas hi Mert, thanks for your support!
TRYO
One of the biggest bottlenecks in robotics today is not the model, it’s the data. Rigyd tackles a massive problem by making physics-accurate synthetic training environments scalable and practical.
Training across millions of variations is exactly what humanoid and robotic manipulation systems need to generalize in the real world. Excited to see where this goes.
@alperguler1 Thanks for the support, Alper. The robotics field faces many challenges, with sim data being a major one, but we are dedicated to tackling them one by one.
UserGuiding
I love it!
@osman_kocs hi Osman, thanks a lot!
Applicant Tracking for Trello
Congrats on the launch. Looking forward to giving it a try.