This NEW AI System SIMULATES REALITY (Genesis A.I Just Changed EVERYTHING!)

00:08:59
https://www.youtube.com/watch?v=5Vc7jm9DzAQ

Zusammenfassung

TLDRThe Genesis Project is a groundbreaking tool revolutionizing robotics by merging generative AI with precise physics simulations. This open-source platform allows for creating dynamic, interactive four-dimensional virtual environments to train robots faster and more efficiently. Written in Python, Genesis runs 10-80 times quicker than other high-end tools leveraging GPUs. Unique features include autonomous task designs, real-world physics simulations with incredible detail, soft robotic support, and GPU-parallelized inverse kinematics (IK) solvers. Its versatility spans industries like healthcare, manufacturing, and game development. Opening up new possibilities, Genesis redefines simulation accuracy, speed, and efficiency in robotics and AI.

Mitbringsel

  • 🤖 Genesis blends generative AI with realistic physics to train robots faster.
  • ⚡ It's 10-80 times faster than similar tools, written in Python.
  • 🌍 Creates highly realistic 4D virtual environments for robotics.
  • 📂 Open-source, enabling broad access and innovation.
  • 🦾 Supports soft muscle robotics, a major step forward in simulation.
  • 🧠 Automates robotic training for smarter and more capable systems.
  • 🎮 Simulates diverse phenomena: liquids, smoke, fabric, and more.
  • 📊 Handles complex non-convex collisions for real-world component accuracy.
  • 🎯 GPU acceleration enables massive-scale simulations in milliseconds.
  • 🚀 Genesis reshapes robotics with speed, scalability, and detail.

Zeitleiste

  • 00:00:00 - 00:08:59

    A revolutionary announcement in robotics propels innovation through The Genesis Project, a cutting-edge generative AI tool combined with real-world physics. By enabling realistic, rapid, and efficient virtual environment creation and training, Genesis reshapes robotics development. This open-source Python-based tool achieves unmatched speed—up to 80 times faster than traditional methods—and can train robots in seconds using a single high-end GPU. With the incorporation of advanced physics including deformable materials, liquids, and soft robotics, as well as features like non-convex collision handling and GPU-parallelized inverse kinematics solvers, Genesis enables scalable and precise robotic simulations, introducing possibilities for wide-ranging applications in industries from healthcare to manufacturing and beyond.

Mind Map

Video-Fragen und Antworten

  • What is The Genesis Project?

    It's a new tool combining generative AI with realistic physics to create highly accurate virtual environments for training robots.

  • What makes Genesis faster than other simulation tools?

    It’s written in Python, optimized for high-speed computations, and runs 10-80 times faster on GPUs compared to traditional tools.

  • What industries can benefit from Genesis?

    Industries like healthcare, search and rescue, manufacturing, and game development can benefit greatly from realistic robotics simulations.

  • Is Genesis open-source?

    Yes, Genesis is open-source, allowing researchers and developers to access, learn, and create their own projects with the tool.

  • What are some unique features of Genesis?

    Genesis autonomously designs environments, sets tasks, creates rewards, and writes robotic policies, offering unparalleled simulation and training capabilities.

  • Can Genesis simulate soft robotic movements?

    Yes, Genesis supports full soft robotics simulations, including muscle-like movements and interactions with rigid structures.

  • What types of physical phenomena can Genesis simulate?

    Genesis can simulate rigid objects, soft deformables, liquids, smoke, articulated systems, and more.

  • What role does GPU efficiency play in Genesis?

    Its GPU-parallelized IK solver allows it to train thousands of robotic arms simultaneously, immensely speeding up robotic simulations.

  • How does Genesis handle non-convex collisions?

    Genesis has built-in functionality for simulating complex, irregular object collisions, making it suitable for intricate machinery simulations.

  • How long does it take Genesis to train a robot?

    Genesis can train a robot to perform tasks, like walking, in just 26 seconds using a single Nvidia RTX 4090.

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Automatisches Blättern:
  • 00:00:00
    so today we got probably one of the
  • 00:00:02
    craziest announcements this year that
  • 00:00:04
    could truly change the future of
  • 00:00:06
    Robotics this is The Genesis Project
  • 00:00:10
    this is a revolutionary new tool that
  • 00:00:12
    combines the creative power of
  • 00:00:14
    generative AI with the accuracy of real
  • 00:00:17
    world physics imagine being able to
  • 00:00:19
    create virtual environments and train in
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    a way that's not just realistic but a
  • 00:00:23
    way that is incredibly fast and
  • 00:00:26
    efficient that's exactly what Genesis
  • 00:00:28
    does now this project has been in
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    development for 2 years with over 20
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    research labs collaborating to make it a
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    reality the result is a powerful physics
  • 00:00:39
    engine that can create Dynamic
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    four-dimensional worlds and these worlds
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    are fully interactive and Incredibly
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    detailed making them perfect for
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    developing Advanced Robotics and
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    applications in physical AI which is a
  • 00:00:51
    field of teaching machines to understand
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    and interact with the physical world now
  • 00:00:56
    Genesis stands out because it's written
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    in Python a programming language that
  • 00:01:00
    many people already know and even so
  • 00:01:02
    it's shockingly fast 10 to 80 times
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    faster than the other high-end tools
  • 00:01:07
    that rely on powerful gpus like Isaac
  • 00:01:10
    Sim JY and mjx for example it can train
  • 00:01:13
    a robot to walk in just 26 seconds using
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    a single Nvidia RTX 4090 which is an
  • 00:01:20
    incredible achievement now the speed
  • 00:01:22
    isn't just for show it's about making
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    Cutting Edge technology available to
  • 00:01:26
    more researchers and developers now
  • 00:01:28
    what's crazy about this is that this is
  • 00:01:30
    actually open source this means anyone
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    can access this code and learn from it
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    and use it to create their own projects
  • 00:01:37
    I think this is probably going to be one
  • 00:01:38
    of the largest developments for robotics
  • 00:01:40
    because one of the main problems that we
  • 00:01:42
    do have in terms of you know trying to
  • 00:01:45
    advance robotics is the data collection
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    issue collecting data for robotics is
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    tedious because as you all know many
  • 00:01:52
    people currently use tele operation and
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    this makes sense because you're
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    interacting with the robot in a real
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    physical world and of course you can
  • 00:02:00
    collect that data because you know
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    exactly where the robot is how it
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    interacts with the world and how the
  • 00:02:06
    tasks are achieved successfully or
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    unsuccessfully but if we have something
  • 00:02:12
    like this which is a true physics
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    simulation something that is very
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    accurate in terms of the onetoone
  • 00:02:18
    mapping of the physical world then
  • 00:02:20
    things are going to speed up at a
  • 00:02:22
    ridiculous pace and we've seen before
  • 00:02:24
    with prior projects when we've used
  • 00:02:27
    previous simulations like nvidia's Isaac
  • 00:02:29
    Sim or videos Isaac Jim what that has
  • 00:02:31
    done for the pace of Robotics so if this
  • 00:02:34
    is something that is widely used and is
  • 00:02:37
    remarkably more efficient than those
  • 00:02:39
    other tools from Nvidia then this is
  • 00:02:40
    going to be something that completely
  • 00:02:42
    changes the game and we all know
  • 00:02:45
    companies and countries are really
  • 00:02:47
    really trying to work hard when it comes
  • 00:02:49
    to robotics so with something like this
  • 00:02:52
    being embedded into the ecosystem of AI
  • 00:02:55
    and Robotics we're probably going to see
  • 00:02:58
    things explode overall I'm I mean one of
  • 00:03:00
    the things that we have to understand is
  • 00:03:02
    that the real problem is not the
  • 00:03:04
    humanoid robots platform humanoid robots
  • 00:03:06
    are really successful at doing a variety
  • 00:03:08
    of different tasks the main problem is
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    of course the autonomy and ensuring that
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    we can get enough data to scale our
  • 00:03:15
    efforts across the world so this is
  • 00:03:17
    going to be something that I think is
  • 00:03:18
    going to be really fascinating
  • 00:03:20
    especially when we start seeing first
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    use cases of course right now this is
  • 00:03:24
    something that they have just released
  • 00:03:26
    so it will be a little bit of time
  • 00:03:27
    before we start to see the real world
  • 00:03:29
    implications of this I can imagine there
  • 00:03:31
    are some developers probably already
  • 00:03:33
    hacking away at their Labs figuring out
  • 00:03:35
    the best ways and the best settings to
  • 00:03:38
    get to grips with this kind of software
  • 00:03:40
    so for me this is largely one of the
  • 00:03:42
    craziest AI updates SL robotics updates
  • 00:03:45
    because this has a wide range of
  • 00:03:47
    applications that most of us simply
  • 00:03:49
    cannot fathom and before we get into all
  • 00:03:51
    of the futuristic sci-fi outcomes of
  • 00:03:53
    this let's take a look at how good this
  • 00:03:55
    simulator is and some of the key
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    features that differentiates it from any
  • 00:03:59
    software that's existed before now The
  • 00:04:00
    Genesis Project introduces a
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    groundbreaking feature a generative
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    agent that can handle every step of
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    teaching robots how to operate in
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    realistic environment entirely on its
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    own first it autonomously designs
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    virtual environments that mimics real
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    world spaces like kitchens living rooms
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    and other everyday settings then it
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    proposes the tasks for the robots to
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    perform such as opening a microwave
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    picking up objects or navigating through
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    Furniture but it doesn't stop there it
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    also creates the reward systems which
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    are like the incentives for robots
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    teaching them what succcess looks like
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    for instance if a robot successfully
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    opens a microwave the system gives it a
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    reward helping it learn faster and
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    better and finally it automates the
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    entire process of writing robotic
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    policies which are the detailed
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    instructions or strategies that guide
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    how robots move think and interact with
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    their environment that means that robots
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    don't just get trained they become
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    smarter and more capable of handling
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    complex tasks all while developers and
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    researchers save time and effort and by
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    combining these capabilities Genesis
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    sets a new standard for how robots learn
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    and adapt to the physical world now
  • 00:05:09
    what's crazy about this physics engine
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    that can simulate an incredibly diverse
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    range of physical phenomena this engine
  • 00:05:15
    actually combines state-of-the-arts
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    physics solvers like mpm material Point
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    method SP smooth particle hydrodynamics
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    F finite element method rigid body
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    Dynamics and pbd among many others and
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    this makes it cap of realistically
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    simulating virtually anything you can
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    imagine from rigid objects to objects
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    like metal to soft deformes like cloth
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    and rubber to complex materials like
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    liquid and smoke and even elastic or
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    plastic bodies and it doesn't stop there
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    Genesis even supports Advanced
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    simulations for articulated systems like
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    robot muscles and thin shell materials
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    which are crucial for Robotics and
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    physical Ai and what this means is that
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    Genesis can simulate real world physics
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    at an unprecedented level of detail and
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    accuracy imagine being able to replicate
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    how a piece of fabric Moves In The Wind
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    how liquid Splash and flow or how robot
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    muscle stretch and contract all in a
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    virtual environment these simulations
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    are not just for show they play a
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    critical role in training AI models and
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    robots to interact with the physical
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    world in realistic Ways by bringing all
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    of these physical capabilities into one
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    unified engine Genesis makes it easier
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    for developers to research and create
  • 00:06:25
    highly realistic simulations Beyond its
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    incredible ability to simulate rigid
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    object objects liquids and deformable
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    materials Genesis also takes robotics to
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    the next level by supporting Soft
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    Robotics this is a GameChanger because
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    soft robots like those made to mimic
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    muscles or organic movements are
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    notoriously difficult to simulate
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    Genesis bridges that Gap it's the first
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    ever platform to provide full support
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    for soft muscle simulations and soft
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    robot interactions with rigid structures
  • 00:06:50
    what's even better is that Genesis
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    includes a configuration system similar
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    to urdf which is commonly used in
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    robotics this makes it easier than ever
  • 00:06:59
    to design test and refine soft robotic
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    systems in Virtual environments for
  • 00:07:04
    example you can simulate how a soft
  • 00:07:05
    robot might crawl or interact with its
  • 00:07:07
    surroundings which has huge potential
  • 00:07:09
    for Industries like healthcare search
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    and rescue and more and if Soft Robotics
  • 00:07:14
    wasn't impressive enough Genesis
  • 00:07:15
    continues to push the boundaries with
  • 00:07:17
    its unparalleled computational
  • 00:07:18
    capabilities one standout feature is its
  • 00:07:21
    GPU parallelized ik solver ik or inverse
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    kinematics is a critical process in
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    robotics that calculates The Joint
  • 00:07:29
    movements needed for a robotic arm to
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    reach a specific Target normally this is
  • 00:07:33
    computationally expensive and timec
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    consuming especially when dealing with
  • 00:07:36
    multiple robotic systems but Genesis
  • 00:07:39
    takes this to a whole new level it can
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    solve ik for an incredible 10,000
  • 00:07:43
    robotic arms like the highly Advanced
  • 00:07:45
    Frank arms simultaneously in under 2
  • 00:07:47
    milliseconds using a single RTX 4090
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    this level of speed and efficiency is
  • 00:07:52
    unprecedented and opens up new
  • 00:07:54
    possibilities for large-scale robotic
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    simulations Industrial Automation and
  • 00:07:59
    complex research projects with Genesis
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    the limits of what we thought was
  • 00:08:02
    possible in robotics are being redefined
  • 00:08:04
    another groundbreaking capability of
  • 00:08:06
    Genesis is its support for Native
  • 00:08:09
    non-convex Collision handling this might
  • 00:08:11
    sound technical but it's a huge deal in
  • 00:08:12
    the world of simulations in simpler
  • 00:08:14
    terms most physics engines struggle to
  • 00:08:16
    handle collisions between objects with
  • 00:08:18
    complex irregular shapes like gears
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    chains or any object that isn't smooth
  • 00:08:23
    or simple these shapes are called
  • 00:08:24
    non-convex and accurately simulating
  • 00:08:26
    their collisions requires Advanced
  • 00:08:28
    algorithms is tackles this challenge
  • 00:08:30
    head-on with built-in support for these
  • 00:08:32
    types of interactions this means it can
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    accurately simulate how irregularly
  • 00:08:36
    shaped objects bump slide or even
  • 00:08:38
    interlock with one another all while
  • 00:08:40
    maintaining physical realism for example
  • 00:08:42
    if you're working on a robotic system
  • 00:08:44
    that interacts with intricate Machinery
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    or components Genesis ensures that every
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    collision and movement behaves as it
  • 00:08:50
    would in the real world this capability
  • 00:08:52
    makes Genesis a powerful tool for
  • 00:08:53
    Industries like manufacturing Robotics
  • 00:08:55
    and game development where precise
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    Collision handling is crucial
Tags
  • Genesis Project
  • AI
  • robotics
  • physics simulation
  • generative AI
  • open-source
  • soft robotics
  • realistic training
  • GPU efficiency
  • robotic research