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Reinforcement Learning on Hardware from Sim-to-Real (Rotary Inverted Pendulum)
youtu.be/PTsIg7wUC9U
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Kevin Wood | Robotics & AI
421 posts
Kevin Wood | Robotics & AI
@KWRoboticsAI
10+ years in robotics, AI/Ml, computer vision and controls. 60k+ subscribers on YouTube. Subscribe! Link down below 👇
Tham gia Kasım 2020
574 Đang theo dõi212 Người theo dõi
@TheHumanoidHub I got some catching up to do, pretty impressive how it controls the key pressure so well
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Genesis AI has stepped into the spotlight
The company is a SF Bay Area-based full-stack embodied AI startup.
The Stack
- Foundation model
- 20 DoF dexterous hand
- Tactile-sensing data-collection glove + Data engine
- Custom motor controllers
- In-house high-fidelity simulator
The Thesis: Manipulation is a system problem, not just an AI problem. The company’s first general-purpose robot is teased as the “ultimate culmination” of the stack.
Founders
Zhou Xian (CEO) and Théophile Gervet (President), formerly of Mistral, NVIDIA, Google, CMU, MIT, and Stanford.
$105 million raised in July 2025. Dual headquarters in San Carlos, CA and Paris.
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8 Hours of designing humanoid robot legs compressed to 30 seconds
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8 Hours of Designing Humanoid Robot (compressed to 30 seconds)
youtube.com/shorts/tqp_f4D…
YouTube
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8 Hours of Humanoid Robot Leg Design (Every Click, Every Decision)
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@jennnniepink @kevinwoodrobotics?si=D36QisWyG_0N2axf" target="_blank" rel="nofollow noopener">youtube.com/@kevinwoodrobo…
QME
Kevin Wood | Robotics & AI đã retweet
@elonmusk @TheHumanoidHub @GoingBallistic5 Yeah patents usually just reflect the main ideas but most final implementation looks pretty different
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@TheHumanoidHub @GoingBallistic5 We already changed the design. This one didn’t actually work.
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Scott Walter (@GoingBallistic5) explains Tesla Optimus' innovative rolling contact finger joints from the newly published patents.
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@TheHumanoidHub Yeah a bit disappointed in teslas progress at least publicly
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The contrast is striking.
Tesla is inviting people to watch Optimus cheer from the sidelines at the Boston Marathon.
Meanwhile, 300 humanoids from 26 Chinese OEMs actually participated in the Beijing Half Marathon. Multiple robots finished faster than the human winner, 40% navigated autonomously.
Sawyer Merritt@SawyerMerritt
Just got this email. @Tesla’s Optimus robot is coming to Boston. “Join us from April 19 to 20, 2026, at Tesla Boston Boylston Street showroom to meet Optimus, our humanoid robot, for Marathon Monday. Optimus will be cheering with you on the sidelines and posing for photos.”
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Kevin Wood | Robotics & AI đã retweet
Building robots that work in the real world starts in simulation. 🦾
Explore our end-to-end workshop to see how you can train and deploy a physical AI model on a real robot, using the SO‑101 arm with NVIDIA Isaac as a hands-on example.
You’ll learn how to:
🛠️ Set up your robot lab
📊Collect data, train and evaluate
🔄Augment datasets
📏 Measure the actuation gap
Start the free tutorial 👉 nvda.ws/4vzg4f5
Overview 🎥 nvda.ws/3Qi2WuG
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Kevin Wood | Robotics & AI đã retweet
Tesla published five new patents yesterday, all for the Optimus robotic hand and arm:
1. Covers cable routing through the wrist joint.
The key innovation is that cables are arranged in a lateral stack on the forearm side and transition to a vertical stack on the hand side, minimising the perpendicular distance between a control cable and the axis of rotation.
This prevents cable tension from fighting wrist movement.
WO 2026/080687
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Disney is trying to solve this problem by making robots fall gracefully
youtube.com/watch?v=BXqpVM…
YouTube
The Humanoid Hub@TheHumanoidHub
bro just died 😭
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AGIBOT Article: agibot.com/article/231/de…
x.com/AGIBOTofficial…
#Robotics #RobotLearning #VLA #HumanoidRobots #AI
AGIBOT@AGIBOTofficial
#AGIBOTAIWeek Day3: Introducing GO-2 - our next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • generate executable action plans through deep spatial reasoning • deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI
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AGIBOT's GO2 is a significant step forward in deployable robot intelligence — and I broke down exactly why in my latest video.
AGIBOT GO-2: Higher Success Rate than NVIDIA GR00T and π0.5!?
youtu.be/m6QXgw22APk
@AGIBOTofficial
YouTube
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AGIBOT's GO2 is a significant step forward in deployable robot intelligence — and I broke down exactly why in my latest video.
English
AGIBOT Article: agibot.com/article/231/de…
x.com/AGIBOTofficial…
AGIBOT@AGIBOTofficial
#AGIBOTAIWeek Day3: Introducing GO-2 - our next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • generate executable action plans through deep spatial reasoning • deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI
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