Robot-Agnostic Navigation
Nov 6, 2026
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1 min read
We are developing a lightweight navigation runtime for a broad range of robotic platforms. The system uses a graph-based representation and deep-learning-derived visual features as anchor points, minimizing robot-specific dependencies and simplifying deployment across different robot embodiments.
The robot-agnostic architecture is implemented, with broader cross-platform validation in progress.
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.