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Try Box3DUnreal, a free and open-source Box3D integration for Unreal Engine 5 by Antonio Lattanzio, built for lightweight, high-performance physics.

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25,295 görüntüleme • 1 ay önce •via X (Twitter)

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🚀 Big milestone! I've replaced almost my entire Unreal Engine physics pipeline with Box3D. Sharing the latest progress on Box3DUnreal: a free, open-source Box3D integration for Unreal Engine focused on lightweight and high-performance physics. Try it, report issues, suggest improvements, or contribute on GitHub. The goal is to build something the Unreal community can improve together. Huge thanks to emptyvessel for the support and for giving me the opportunity to work on DEFECT, where I continue pushing gameplay, destruction, networking, and physics. Check comments for the link 🔗 #UnrealEngine #UE5 #GameDev #OpenSource #Box3D
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🚀 Big milestone! I've replaced almost my entire Unreal Engine physics pipeline with Box3D. Sharing the latest progress on Box3DUnreal: a free, open-source Box3D integration for Unreal Engine focused on lightweight and high-performance physics. Try it, report issues, suggest improvements, or contribute on GitHub. The goal is to build something the Unreal community can improve together. Huge thanks to emptyvessel for the support and for giving me the opportunity to work on DEFECT, where I continue pushing gameplay, destruction, networking, and physics. Check comments for the link 🔗 #UnrealEngine #UE5 #GameDev #OpenSource #Box3D

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Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.
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Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.

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200ms of network latency... and the feet still stay planted! 👀 Early test integrating Box3D by Erin Catto into Unreal Engine as a plugin. Still a work in progress, but the stability of the foot placement under latency is already looking really promising! Next step: more features, improved networking, and more physics experiments!🚀 #UnrealEngine #GameDev #Physics #Networking #IndieDev #Box3D
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200ms of network latency... and the feet still stay planted! 👀 Early test integrating Box3D by Erin Catto into Unreal Engine as a plugin. Still a work in progress, but the stability of the foot placement under latency is already looking really promising! Next step: more features, improved networking, and more physics experiments!🚀 #UnrealEngine #GameDev #Physics #Networking #IndieDev #Box3D

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200ms of simulated network latency. Same test. Different physics engine. The first half shows Unreal's Chaos physics. Notice the visible corrections and jitter when interacting with overlapping surfaces. In the second half, I switch to Box3D (debug rendering enabled) under the same network conditions. The corrections largely disappear and the movement remains much more stable. This is still early research, and I'm sure Chaos has tuning options I haven't explored yet. But Box3D's deterministic simulation and lightweight design are proving to be very promising for networked gameplay. I've been building these experiments in my spare time, and I plan to open-source the Unreal Engine integration soon so the community can experiment with it too. Huge thanks to emptyvessel for fostering a culture of pushing technology forward. Working on DEFECT every day inspires a lot of these experiments! If you enjoy this kind of technical content, a repost or a wishlist for the games my team and I are building is always appreciated. ❤️ #gamedev #unrealengine
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200ms of simulated network latency. Same test. Different physics engine. The first half shows Unreal's Chaos physics. Notice the visible corrections and jitter when interacting with overlapping surfaces. In the second half, I switch to Box3D (debug rendering enabled) under the same network conditions. The corrections largely disappear and the movement remains much more stable. This is still early research, and I'm sure Chaos has tuning options I haven't explored yet. But Box3D's deterministic simulation and lightweight design are proving to be very promising for networked gameplay. I've been building these experiments in my spare time, and I plan to open-source the Unreal Engine integration soon so the community can experiment with it too. Huge thanks to emptyvessel for fostering a culture of pushing technology forward. Working on DEFECT every day inspires a lot of these experiments! If you enjoy this kind of technical content, a repost or a wishlist for the games my team and I are building is always appreciated. ❤️ #gamedev #unrealengine

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