Peng Chen

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Peng Chen

Peng Chen

@pengchen_

@AGIBOTofficial BD Americas | @Unibo EE @OhioState MBA | Mechatronics, Motion and Robotics|Industrial Automation Veteran | All-in Robotics Education

San Jose, CA Katılım Aralık 2010
160 Takip Edilen77 Takipçiler
Brandon Ong
Brandon Ong@bytedunks·
We'll be in SF next week for Data Center Expo. Do I know anyone deploying robots in industrial or similar settings? We're building robots for datacenters and are working together with our first enterprise partner. Would love to share notes and explore overlaps. Real-world RL, engineering deployment pipelines for continuously improving models, and early commercialization are top of mind.
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Brett Adcock
Brett Adcock@adcock_brett·
Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…
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Peng Chen
Peng Chen@pengchen_·
@chris_j_paxton learning from recovery is the most valuable thing in deployment and RL.
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Peng Chen
Peng Chen@pengchen_·
Friday night and the robotics crowd still showed up 🔥🤖 Great time at the @RoboticsCtr Hardware Party — awesome seeing friends from @openmind_agi , @dimensionalos and across the ecosystem. Energy was absolutely packed. Love seeing the hardware community getting stronger!
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CIX 🦾
CIX 🦾@cixliv·
This video is going viral on Instagram. The first fight ever between an Engine and Unitree robot at our new store space in SF.
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Jim Fan
Jim Fan@DrJimFan·
I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, "Physical Turing Test". I laid out the roadmap for solving Physical AGI as a simple parallel to the LLM success story. Be a good scientist, copy homework ;) And stay till the end, more easter eggs and predictions for your polymarket! 00:30 DGX-1 origin story at OpenAI, I was there in 2016 signing with Jensen and Elon. Heading to the Computer History Museum! 01:42 The Great Parallel 03:31 Robotics, the Endgame 03:39 Why VLAs fall short 04:32 Video world models as the 2nd pretraining paradigm 06:09 World Action Models (WAM) 07:46 Strategies for robot data collection and the FSD equivalent to physical data flywheel for robot manipulation 11:06 EgoScale and the Dexterity Scaling Law we discovered recently 14:00 Physical RL: bridging the last mile 15:39 DreamDojo: an end-to-end neural physics engine for scaling RL in silico 17:00 Civilizational Technology Tree and my predictions for the near future. Spoiler: it's closer than you think. Thanks to my friends at Sequoia for inviting me back to AI Ascent this year! I had a blast! Last year's talk is attached in the thread if you missed it.
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CIX 🦾
CIX 🦾@cixliv·
The robots are preparing for tomorrow…
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Peng Chen
Peng Chen@pengchen_·
Excited to bring Lumi to @CBRE ’s Tech Symposium today. As AI reshapes industries, robots are no longer just demos—they’re becoming infrastructure. Great conversations on how Physical AI can unlock new possibilities for commercial real estate and facilities operations.
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Dhruv Diddi
Dhruv Diddi@DhruvDiddi·
🚀 @Solo__Tech breakthrough: NVIDIA Sonic goes beyond the G1. 🌏 We’ve achieved a global first: migrating NVIDIA Sonic to a completely different humanoid morphology, the AGIBOT X2 🥇 This is a massive leap for transferable humanoid intelligence. We are moving away from single-robot controllers toward architectures that generalize across diverse embodiments. The Specs: Hardware: AGIBOT X2 Ultra (31 DoF) Precision: 14-DoF Dexterous Hands Capabilities: - End-to-end whole-body locomotion with manipulation - Single leg balancing and stylized motion - Upper body gestures Big respect to the team fueling this innovation all the way! @meetsitaram @zeeshaan_7788 @Samarth_1506 @DevSodhi @flyingtaxiguy @build @frontiertower @nvidia @AGIBOTofficial @nebiusai @UFBots @vitl2907 @XeniaBulatov @NVIDIARobotics To learn more about Solo Tech at the frontier of Physical AI: getsolo.tech/blog #PhysicalAI #Robotics #Humanoids #NVIDIA #AGIBOT #SoloTech #EmbodiedAI #SoloSeven
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Dhruv Diddi
Dhruv Diddi@DhruvDiddi·
It was an absolute pleasure to be part of the @scaling_laws podcast with @abundanceinst fellow and @UTAustin Professor Kevin Frazier! It’s not every day you get to dive deep into the future of robotics with an innovative mind with such an extensive experience in law fare. YouTube link: youtube.com/watch?v=ncxjmj… Some keynotes from our conversation: 1. What is Solo Tech? 🚀 [00:46] 2. Defining Physical AI 🧠 [01:38] 3. Solving the "Dull, Dirty, and Dangerous" 🌾 [05:19] 3. Why Physical AI is Important for the Future [10:59] 4. The Physical AI Gym 🏋️ [11:07] 5. The Journey: From New Delhi to Silicon Valley 🌍 [24:49] 6. The Solo Founder’s Path ⚡[35:51] 7. Visions of the Future: The Ben Franklin of AI 📚 [37:31] The goal is simple: Create a world where every community has the tools to own and train their own embodied intelligence. Huge thanks for having me Kevin for the "Founders and Founders" series! Watch till the end to know the Benjamin Franklin secret reference! #PhysicalAI #Robotics #SoloTech #FoundersAndFounders #SoloSeven
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Kevin Frazier@KevinTFrazier

Your AI policy homework came early this week. Don't miss this @scaling_laws episode w/ @DhruvDiddi of @Solo__Tech Big questions include: Can / should robots take on dull, dangerous, and dirty jobs? What's an AI gym?! Is Dhruv building the robots from Transformers?!!

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OpenMind
OpenMind@openmind_agi·
Here's the recap of our Robotics Intelligence Seminar at Stanford Research Institute! We had a packed room with amazing speakers, panelists, and robotics enthusiasts. See you at our next event where we'll continue to bring industry thought-leaders together.
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