Humanoid Robots
Powered by NVIDIA Jetson edge computing, TZTEK integrates leading embodied AI foundation models such as NVIDIA GR00T and Physical Intelligence π0.5, with domain-specific fine-tuning and policy optimization to deliver a reference embodied AI solution for commercial humanoid robotics.
INDUSTRY CHALLENGES
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01Heterogeneous compute integration challenges.
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High barriers to sim-to-real deployment.
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Lack of closed-loop data infrastructure for continuous learning.
INDUSTRY SOLUTION
The solution features an open, layered full-stack architecture, integrating industrial- and automotive-grade sensors and high-dynamic actuators with edge deployment of embodied AI models. This enables low-latency execution from high-level intent to millimeter-level joint motion.
Application Layer: Task orchestration and human-robot interaction for applications such as factory inspection and flexible assembly.
Foundation Model Layer: GR00T and π0.5 VLA models for high-level reasoning, vision-language-action (VLA) mapping, and action generation.
Edge Compute Layer: NVIDIA Jetson Thor (T5000) / AGX Orin compute modules deliver up to 2,070 FP4 TFLOPS for on-device inference of high-performance embodied AI models.
Hardware & Sensing Layer: 10 ns hardware synchronization across multimodal sensing, including surround-view GMSL cameras, stereo cameras, tactile dexterous hands, and IMUs.
KEY ADVANTAGES
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Integrates AI inference with high-precision motion control to enable real-time robot interaction.
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Supports mainstream foundation models for plug-and-play integration and faster deployment.
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Enables continuous learning and improvement through a closed-loop data infrastructure.
