#MuJoCo Isaac Gym
7 related articles
·3 min
Figure F.03 Autonomous Ladder Climbing: Another Breakthrough in Humanoid Robot Dynamic Balance
Figure.AI demos F.03 robot autonomously climbing a ladder, showcasing breakthroughs in dynamic balance, multi-limb coordination, and embodied intelligence for industrial applications.
Read more →
·3 min
Gemini Robotics 2 Deep Dive: How Whole-Body Intelligence Is Reshaping the Future of Robotics
Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges of bringing embodied AI from lab to commercial deployment.
Read more →
·3 min
Gemini Robotics 2 Deep Dive: How Whole-Body Intelligence Is Reshaping the Future of Robotics
Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges from lab demos to commercial deployment.
Read more →
·2 min
Transformer²: Achieving Co-Design of Robot Morphology and Control with a Unified Architecture
Deep dive into how Transformer² uses a unified Transformer architecture to integrate robot morphology design and motion control into one model, enabling task-driven end-to-end co-design for embodied AI.
Read more →
·2 min
How to Get Vizuara Robot Learning Course Notes & Free Resource Guide
Want free Vizuara 'Modern Robot Learning from Scratch' course notes? This guide covers official channels, GitHub resources, and recommends free courses like UC Berkeley CS285.
Read more →
·7 min
Practical RL Compute Optimization: Core Strategies to Boost CPU and GPU Utilization
An in-depth look at why CPU and GPU utilization is low in RL training, covering vectorized environment parallelism, distributed Actor-Learner architectures, GPU-side simulation (Isaac Gym/Brax), and Ray RLlib practice.
Read more →
