Superposed_Cat
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Hey all, are there any resources available online on rag doll physics programming without 3rd party libraries? the algorithms etc? Any help appreciated.
This discussion focuses on implementing ragdoll physics without relying on third-party libraries. Participants share resources such as academic papers and tutorials, including a tutorial on simulating ragdolls using Verlet integration and a paper on advanced character physics. The conversation also touches on using genetic algorithms and least squares regression for simulating movement and learning physics laws. The consensus emphasizes the complexity of accurately modeling multi-body physics, suggesting that third-party libraries may save significant development time and effort.
PREREQUISITESGame developers, robotics engineers, and computer graphics programmers interested in implementing physics simulations without third-party dependencies.
Make a simulated robot learn to walk with genetic algorithms. I wanted to do it with neural networks but couldn't figure out what to make the inputs and outputsGreg Bernhardt said:What kind of project are you working on?
kroni said:Previously i try genetic algorithm for this kind of task and it doesn't work well because learning is very long. Walk can be learned by logic, automatic. You can automaticaly learn physics law with généric model regression like least square regression and then use it to search how to move using a tree to explore the configuration space.
kroni said:é
Why do you want to avoid 3rd party libraries? You're using a compiler. Why aren't you using machine language? What's the difference between a 3rd party library and a compiler?Superposed_Cat said:Hey all, are there any resources available online on rag doll physics programming without 3rd party libraries?
Superposed_Cat said:why do you type your 'e's like this?
