Unified Humanoid Whole-Body Control
Nov 6, 2026
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1 min read
We are researching a unified whole-body control model that can generalize across humanoid robot platforms. The model accepts a robot’s hardware configuration as context, with the long-term goal of operating across embodiments without platform-specific fine-tuning.
NVIDIA GR00T is the current base model, although the method is designed to extend to other control architectures. Initial cross-platform generalization has been demonstrated, and work continues on robustness and transfer.
Authors
Senior Principal Applied Scientist
I lead applied research and engineering at the intersection of robotics,
reinforcement learning, agentic AI, and efficient AI systems. My work spans
embodied intelligence, large-scale model training and reasoning, inference
optimization, and deploying efficient models from cloud infrastructure to
edge devices.