Heterogeneous Compute
"Never trust a computer you can't throw out a window." - Steve Wozniak
Vision Language Action
version 2.9Vision-Language-Action explores how modern VLA models can drive real robotic behavior by unifying perception, instruction, and control. This experiment evaluates SmolVLA, the LeRobot framework, and a pair of SO-101 3D-printed robotic arms, while comparing performance across heterogeneous compute platforms. The goal is to understand how multimodal inference workloads map onto different parts of an SoC, how execution characteristics vary between Intel and NVIDIA hardware, and what this means for deploying VLAs in real robotic systems.
Release Date: August 3, 2026Core Concepts
Natural language + vision models controlling real robotic arms for precise manipulation.
Precision Engineering
High-reliability embedded systems, FPGA design, and robotics platforms built with uncompromising attention to detail.
Verified Performance
Benchmarked, stress‑tested, and validated across real‑world robotics and compute workloads.
Robotics & Control
Physical systems, precise motion, and intelligent actuation.