can't catch me now 🏃 💨 🪚🪚
Skild AI
Software Development
Pittsburgh, Pennsylvania 49,353 followers
Building general purpose robotic intelligence.
About us
Building general purpose robotic intelligence.
- Website
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https://www.skild.ai/
External link for Skild AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Pittsburgh, Pennsylvania
- Type
- Privately Held
- Founded
- 2023
Locations
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Primary
141 S Saint Clair St
Pittsburgh, Pennsylvania 15206, US
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San Francisco, California, US
Employees at Skild AI
Updates
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Skild AI reposted this
Looking forward to presenting Skild AI’s latest progress at #NVIDIAGTC DC!
How can robots master new skills and adapt in real-time like humans? 🤔 Join Skild AI CEO Deepak Pathak at #NVIDIAGTC DC to learn how they use human videos, large-scale simulations, and NVIDIA tools to train robots across different embodiments, enabling them to handle a wide range of tasks with a single, unified brain. 🧠 📆 Add to calendar: https://nvda.ws/4mYNtuf
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Skild AI is excited to welcome Machine Learning Interns this season!
We're #hiring a new Machine Learning Intern in San Mateo, California. Apply today or share this post with your network.
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We're #hiring a new Senior Automation & Controls Engineer in San Mateo, California. Apply today or share this post with your network.
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We're #hiring a new Machine Learning Intern in San Mateo, California. Apply today or share this post with your network.
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Skild AI reposted this
We built a robot brain that nothing can stop. Jammed motors? Shattered limbs? If the bot can move, the Brain will move it— even if it’s never seen that robot body before. Meet the omni-bodied Skild Brain. — What makes it so resilient? First, it's "omni-bodied". The Skild Brain spent 1,000 years walking 100,000 different bodies across simulated worlds. In our world, the Brain treats a broken robot as just another body. Second, it has an extraordinarily long memory. Most robot control policies have a few hundred milliseconds of memory, specialized for only one robot. Our context window is over 100x longer. With its extremely long memory, the Brain can learn from failure. This has far-reaching implications for robotics and beyond. Imagine Mars rovers that can adapt to broken wheels. Submersibles that can finish critical repairs with faulty thrusters. A rescue robot with crushed legs that can keep saving lives. Blog → https://lnkd.in/e4dPcWG2 Careers → https://lnkd.in/d5avk_fM Follow Skild AI for updates.
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Skild AI reposted this
This is wild—an AI brain that shrugs off broken parts and keeps going, no matter the robot body? That’s resilience redefined. Imagine Mars rovers or rescue bots that just won’t quit. Hats off to the Skild AI team for pushing the boundaries of adaptability!
We built a robot brain that nothing can stop. Jammed motors? Shattered limbs? If the bot can move, the Brain will move it— even if it’s never seen that robot body before. Meet the omni-bodied Skild Brain. — What makes it so resilient? First, it's "omni-bodied". The Skild Brain spent 1,000 years walking 100,000 different bodies across simulated worlds. In our world, the Brain treats a broken robot as just another body. Second, it has an extraordinarily long memory. Most robot control policies have a few hundred milliseconds of memory, specialized for only one robot. Our context window is over 100x longer. With its extremely long memory, the Brain can learn from failure. This has far-reaching implications for robotics and beyond. Imagine Mars rovers that can adapt to broken wheels. Submersibles that can finish critical repairs with faulty thrusters. A rescue robot with crushed legs that can keep saving lives. Blog → https://lnkd.in/e4dPcWG2 Careers → https://lnkd.in/d5avk_fM Follow Skild AI for updates.
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Skild AI reposted this
Skild AI continues to push the limits for robotics. In this video you can see the first clear demonstration of in-context learning and real-time adaptability - truly mindblowing stuff !!! cc Lightspeed
We built a robot brain that nothing can stop. Jammed motors? Shattered limbs? If the bot can move, the Brain will move it— even if it’s never seen that robot body before. Meet the omni-bodied Skild Brain. — What makes it so resilient? First, it's "omni-bodied". The Skild Brain spent 1,000 years walking 100,000 different bodies across simulated worlds. In our world, the Brain treats a broken robot as just another body. Second, it has an extraordinarily long memory. Most robot control policies have a few hundred milliseconds of memory, specialized for only one robot. Our context window is over 100x longer. With its extremely long memory, the Brain can learn from failure. This has far-reaching implications for robotics and beyond. Imagine Mars rovers that can adapt to broken wheels. Submersibles that can finish critical repairs with faulty thrusters. A rescue robot with crushed legs that can keep saving lives. Blog → https://lnkd.in/e4dPcWG2 Careers → https://lnkd.in/d5avk_fM Follow Skild AI for updates.
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We're #hiring a new Cinematography Intern (Product Videography & Social Media) in San Mateo, California. Apply today or share this post with your network.
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Skild AI reposted this
In-context learning for Robotics is here. Skild Brain adapts to new bodies and survives extreme shifts — without ever being trained on any of these robots!
We built a robot brain that nothing can stop. Jammed motors? Shattered limbs? If the bot can move, the Brain will move it— even if it’s never seen that robot body before. Meet the omni-bodied Skild Brain. — What makes it so resilient? First, it's "omni-bodied". The Skild Brain spent 1,000 years walking 100,000 different bodies across simulated worlds. In our world, the Brain treats a broken robot as just another body. Second, it has an extraordinarily long memory. Most robot control policies have a few hundred milliseconds of memory, specialized for only one robot. Our context window is over 100x longer. With its extremely long memory, the Brain can learn from failure. This has far-reaching implications for robotics and beyond. Imagine Mars rovers that can adapt to broken wheels. Submersibles that can finish critical repairs with faulty thrusters. A rescue robot with crushed legs that can keep saving lives. Blog → https://lnkd.in/e4dPcWG2 Careers → https://lnkd.in/d5avk_fM Follow Skild AI for updates.