16. FoundationModelsForRobotics
https://www.youtube.com/@FoundationModelsForRobotics/videos • last scan 2026-02-14 06:38:58 UTC
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Dibaca # Title Upload Status TXT Resume Cats
0076 The Breakthrough Model for Open-World Robot Generalization
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2026-02-13 downloaded View Resume -
0075 Training an AI to Reason with Only 13 Parameters? TinyLoRA Explained
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0074 DreamZero: The World Action Model Revolutionizing Zero-Shot Robotics
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0073 The Dark Matter of Robotics: Why Machines Struggle with "Physical Commonsense"
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0072 Microsoft Optim SFT: The AI Breakthrough for Real-World Decision Making
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0071 D4RT: Unified, Fast 4D Scene Reconstruction & Tracking
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0070 The AI Scaling Problem: Why Current LLMs Aren’t Truly Intelligent
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0069 NVIDIA PersonaPlex: Natural Conversational AI with Any Role and Voice
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0068 From Satellite Views to Immersive 3D Cities: The Skyfall-GS Revolution
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0067 Beyond LLMs: The Rise of World Models and Spatial Intelligence
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0066 Google's UCP Explained: The Universal Commerce Protocol for AI Agents
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0065 How Robots Learn from Video: Inside the 1X World Model (1XWM)
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0064 NVIDIA Cosmos Reason 2 Explained: The New Brain for Physical AI
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0063 Forget LLMs: MIT's New Recursive Language Model (RLM) Explained
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0062 Mastering AI Agents with Hugging Face Smolagents: Build Your Own Multi-Tool Chatbot
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0061 How AI Agents Actually Work: Building One From Scratch (No Frameworks)
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0060 Is AGI an Illusion? The Heated Debate Dividing Google and Meta
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0059 Will AI Ever Be Conscious? | The Debate Between Biology and Computing
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0058 Train LLMs for $5? DeepSeek’s mHC Breakthrough & The Blueberry 88M Project
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0057 Beyond Scaling: Ilya Sutskever on the Age of Research and the Path to Superintelligence
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0056 Why Scaling LLMs Won't Lead to AGI: Yann LeCun’s Reality Check
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0055 AI Was Supposed to Replace Developers... Here’s Why it Failed
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0054 Spatia: Long-Horizon Video Generation with Updatable 3D Spatial Memory
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0053 V-JEPA & V-JEPA 2 Explained: The Self-Supervised Revolution in Video Understanding
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0052 Solving the Robotic Horizon Trade-off: Mixture of Horizons (MoH) Explained
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0051 Is V-JEPA the End of the LLM Era? Yann LeCun's New Vision for AI
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0050 World Models: How AI Dreams Its Way to AGI
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0049 GSWorld: Bridging the Sim-to-Real Gap with Photo-Realistic Digital Twins
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0048 SPEAR-1: The 3D-Aware Robotic AI That Needs 20x Less Data!
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0047 Steering LLMs: How to Change AI Personality Without Fine-Tuning
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0046 Why Robots Can Play Chess but Struggle with Socks: Moravec’s Paradox Explained
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0045 RETAIN: Robust Robot Policy Finetuning via Parameter Merging
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0044 NVIDIA Isaac GR00T N1.6: Building Generalist Humanoid Robots (Full Explainer)
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0043 Beyond VLAs: mimic-video and the Future of Generalist Robot Control
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0042 How to Train Smarter Robots: Knowledge Insulation in VLA Models
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0041 DexWM: Teaching Robots Dexterity from 900 Hours of Human Video
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0040 Emergence of Human to Robot Transfer in VLAs: Doubling Robot Capabilities with Human Video Data
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0039 FoundationMotion: Auto-Labelling & Reasoning About Spatial Movement in Videos | Large-Scale Dataset
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0038 EgoX: Generate First-Person Videos from ‘Any’ Single Third-Person Clip (Exocentric to Egocentric AI)
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0037 R3L: Slash RL Retraining Time with Zero-Shot Policy Stitching!
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0036 Latent Action Diffusion: Unifying Robot Control Across Diverse Hands and Grippers
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0035 X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale
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0034 Evaluating Generalist Robot Policies: World Model Generalization and Safety using Veo
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0033 Gemini 1.5: Unlocking Emergent Intelligence with the 1 Million-Token Context Window
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0032 Decoding Robot Intuition: Building AI Systems That *Know* What Happens Next
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0031 The Cognitive Architecture of Future AI: From LLMs to Multimodal Embodied Systems
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0030 VLA + RL: The Breakthrough Combining Vision-Language Action Models with Reinforcement Learning
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0029 Gemini Robotics 1.5 overview
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0028 FiS-VLA: Unifying Fast Robotic Manipulation with Slow VLM Reasoning (117Hz Control!)
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0027 Align-Then-stEer (ATE): Data-Efficient Adaptation for VLA Robotics (Cross-Embodiment & Cross-Task)
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0026 Beyond Turing: Can AI Dreams Reveal True Machine Consciousness?
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0025 The LLM Council: How Democratic AI Frameworks Eliminate Bias and Achieve Superior Benchmarking
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0024 Code2MCP: Turn ANY GitHub Repo into an AI Agent Tool (Model Context Protocol Explainer)
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0023 GR-RL: How a Robot Mastered Shoelacing | Dexterous & Precise Long-Horizon Manipulation
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0022 World Models: Latent Imagination, Dreamer, and the Path to AGI in Robotics & Autonomous Driving
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0021 Generative AI: The Age of Creation
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0020 Gemini Robotics 1.5: Thinking Robots & Zero-Shot Skill Transfer across embodiments
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0019 End-to-End Robotics Learning: Train a Behaviour Cloning Policy on PushT with Hugging Face LeRobot
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0018 LeRobot Async Inference: Eliminate Lag & Achieve Real-Time Robotics Control (SmolVLA & All Policies)
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0017 VLA Deep Dive: Vision-Language-Action Models for Generalist Robotics (Pi zero, Helix, GR00T N1)
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0016 SmolVLA: Affordable, Efficient Robotics with a 450M Parameter VLA Model
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0015 Agentic AI vs. Generative AI: The Autonomous Leap (Frameworks, Architecture, & Future)
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0014 RoboCOIN: The Ultimate Open-Source Multi-Embodiment Bimanual Robotics Dataset
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0013 TWIST2: Scalable, Portable, Mocap-Free Humanoid Data Collection and Whole-Body Control (Unitree G1)
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0012 Cosmos World Foundation Model (WFM) Platform
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0011 LLM Council for Code Review: How Multiple AIs Debate and Judge Each Other (Claude, ChatGPT, Gemini)
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0010 π0: The 3.3 Billion Parameter VLA Robot Foundation Model | Flow Matching for Dexterous Control
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0009 π0.5 & Hi Robot: Vision-Language Model That Mastered Real-World Chaos (System 1/System 2 Robotics)
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0008 Flow Matching for Robotics: Faster, Noise-Free AI Policy (VITA & FlowPolicy Explained)
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0007 The Muon Optimizer: How Newton-Schulz Enables 2x Faster LLM Training (AdamW Killer?)
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0006 Real-Time Chunking (RTC) for Seamless AI Robot Control
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0005 New Industrial Revolution?
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0004 Why the Future of LLMs is 8x Faster & Smarter | Deep Dive into SSMs & Nested Learning
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0003 The Robot Revolution: Why AI is Giving Robots the Power to Dream
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0002 Vision-Language-Action Revolution: Inside the Latest Robot Brains (RT-2, Helix, π₀.₅, GR00T N1.5)
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0001 Achieving Mastery in Robotics with RECAP
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