Dexterity Robotics

115 posts

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Dexterity Robotics

Dexterity Robotics

@DexterityRobots

Physical AI + Industrial Superhuman Mechs for Large Enterprises

California Katılım Eylül 2017
98 Takip Edilen1.1K Takipçiler
Dexterity Robotics
Dexterity Robotics@DexterityRobots·
The hardest logistics jobs challenge both body and mind. That's why we built Mech—an industrial superhumanoid that lifts what requires 2-3 people, works in extreme heat/cold, and uses Physical AI to adapt in real-time. The future is amplifying human capability, not replacing it. See @samirmenoncs on @CNBC to learn more - cnbc.com/video/2025/09/…
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
Real-world robotics isn't a hardware problem. It's an AI problem. Outside controlled manufacturing, robots must perceive, reason, and adapt in real-time—across logistics, retail, pharma, airports. That capability? It's pure software.
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
This week: debating if humanoid production volumes are real or CGI. Next week: another robot launch. Missing in all this? The real differentiator. Hardware will commoditize. Physical AI is the moat. 🧵
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
600W in 55°C trucks. No H100s. AI needs to be optimized for both simple and complex tasks. This is where Transactable World Models count - Physical AI optimized for real world production, shared world state, real-time consistency. Architecture matters when Physical AI leaves the lab. @foxglove #Actuate2025
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
Enterprise Physical AI demands an interpretable system of record for spatial intelligence. Not end-to-end black boxes. Not foundation models that hallucinate. An operator that transforms observations into physics-integrable World Snapshots with explicit uncertainty.
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
Physical AI's hardest problem isn't what the robot sees. It's how multiple agents maintain shared understanding when reality constantly changes. Vision, control, planning all at variable rates & transacting against the same world while objects shift and sensors occlude. 🧵
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
Most importantly: why Physical AI must empower people, not replace them. Why robots should handle the heaviest, most dangerous, most injury-prone work—so humans can do more. Why non-destructive automation is the only path forward
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Dexterity Robotics@DexterityRobots·
3 challenges for production Physical AI: Superhuman performance—human-level isn't enough Long tail—wet boxes, high altitude, 95% humidity.... Reliability + safety at viable economics Solve one? Impressive. Solve two? Remarkable. Solve all three? That's what changes an industry. 🧵
Dexterity Robotics tweet media
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Dexterity Robotics
Dexterity Robotics@DexterityRobots·
In 50 years of robotics history, no one had solved all three simultaneously. Everyone agreed they were 'obviously' necessary. No one had actually done it. Why? Because the gap between theory and production is vast.
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Dexterity Robotics@DexterityRobots·
Honored to be named one of @Bloomberg's Top 24 AI Startups to Watch in 2026. Physical AI has moved from the lab to production. Our robots are delivering transformational impact in real industrial environments—today, at scale. #physicalai #Robotics lnkd.in/e28jmyje
Dexterity Robotics tweet media
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Dexterity Robotics@DexterityRobots·
Fragile. Oversized. Heavy. Awkward. Expensive. Everything robots are bad at figuring out how to move. Everything Dexterity was built for. Next week: we show you how. #PhysicalAI #Robotics #Automation #AI
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