Advancing Humanoid Robots with Integrated Cognition and Control Using NVIDIA Isaac GR00T
Introduction to Humanoid Robotics Challenges Humanoid robots aim to perform tasks in environments designed for humans. To be truly useful, these robots must combine cognition and loco-manipulation. Cognition involves understanding and reasoning about the environment, while loco-manipulation covers movement and interaction with objects. Achieving this integration is difficult because it requires perception, planning, and whole-body control working together in changing and unpredictable settings. The Need for a Unified Workflow Developing humanoid robots with generalist capabilities demands a workflow that links simulation, control, and learning. Simulation allows robots to practice skills safely and efficiently before facing real-world challenges. Control refers to the methods that direct robot movements precisely. Learning helps robots improve their abilities over time by adapting to new data. Combining these elements in one process supports the development of complex skills...