2008-2014
Robotics and GPU research
Embodied learning with the iCub robot, GPU acceleration, Aquila, CUDA teaching infrastructure, and ESA rover simulation.
Explore GPU computing for cognitive roboticsWork
Things I have built
Research tools, AI camera prototypes, spatial experiments and an off-grid home. Each project has its own question, challenges and story.
2014 onward
AI cameras and applied vision
Camera-as-computer prototypes, edge AI, synthetic worlds, and the bridge toward spatial perception.
Explore edge AI cameras and applied computer vision
Spatial intelligence
Spatial intelligence
Helping observations share a physical frame: position, timing, topology, uncertainty, and physical context instead of isolated pixels.
Explore multi-camera calibration and spatial intelligence
A personal off-grid build
Tao
Turning abandoned land into a home: solar power, stored energy, water, planting, local computing and automation.
Read the Project Tao off-grid systems recordHow it connects
Robotics tied perception to action; camera work moved it into real settings.
The chapters changed tools, scales, and methods: rover simulation, iCub learning, CUDA, edge cameras, shared coordinates, and finally Tao.
Robotics: perception tied to action and timing.
GPU: larger experiments became practical.
Edge vision: cameras met real settings.
Tao: land, water, weather, paths, and care at place scale.