📄️ Chapter 22: VLA Models Ka Taaruf
Yeh chapter introduce karta hai Vision-Language-Action (VLA) models, explain karte hue kya hain yeh, contrast karte hue traditional robotics VLA-powered systems ke saath, aur highlight karte hue un ke ability general-purpose robots enable karne ki. Yeh bhi trace karta hai historical evolution VLA ka, covering RT-1, RT-2, aur beyond, aur discuss karta hai open-source initiatives jaise OpenVLA alongside current state-of-the-art models ke.
📄️ Chapter 23: VLA Architecture aur Design
Yeh chapter focus karta hai VLA architecture aur design par, detailing multi-modal transformer architectures, visual encoders (jaise DINOv2, SigLIP, CLIP), language models robotics ke liye (jaise LLaMA aur Phi), action decoders, end-to-end learning pipelines, aur design choices single-model aur dual-system approaches ke darmiyan.
📄️ Chapter 24: VLA Models Train Karna
Yeh chapter cover karta hai training VLA models, including selection of training datasets aur benchmarks, data collection real robots aur simulations se, imitation learning aur behavior cloning, fine-tuning of pretrained models, multi-task learning across diverse demonstrations, aur computational scaling requirements.
📄️ Chapter 25: Humanoid Robots Par VLA Models Deploy Karna
Yeh chapter examine karta hai deploying VLA models humanoid robots par, discussing OpenVLA-7B for real-world robotics, domain-specific fine-tuning, quantization aur model compression, edge deployment devices par jaise NVIDIA Jetson, latency optimization for real-time control, aur strategies for handling failures aur fallback behaviors.
📄️ Chapter 26: Robotics Mein Vision aur Language Understanding
Yeh chapter delve karta hai vision aur language understanding mein robotics mein, including scene understanding RGB images se, semantic segmentation object recognition ke liye, 3D spatial reasoning, interpreting natural language instructions, compositional understanding complex tasks ka, aur grounding language physical world mein.
📄️ Quickstart: Vision-Language-Action (VLA) Systems Ke Saath Shuru Karna
Yeh quickstart guide ek brief introduction provide karta hai understanding aur conceptually experiment karne ke liye Vision-Language-Action (VLA) systems ke saath robotics mein. VLA models ke rapid evolution aur diverse implementations ki wajah se, specific installation aur execution steps kaafi vary kar sakte hain. Yeh guide general approach par focus karta hai aur direct karta hai aapko jahan detailed, up-to-date instructions find karna hain.