Robotics + GPU
Action, language, and acceleration
PhD work connecting iCub humanoid learning, action structure, neural networks, CUDA, Aquila, and ESA rover-control research.
Robotics folderPersonal legacy archive
Martin Peniak
Robots, cameras, coordinates, and place.
A life spent making ideas answer to the physical world.
What began as a stubborn dream of robots became a life in embodied AI, GPU computing, cameras, mapped space, and finally a place shaped by return.
I made this so the life, the work, and the places would stay together.
The route runs through Plymouth, rover simulators, iCub, CUDA, TEDx Bratislava, deployed cameras, spatial systems, and Tao.
TEDx Bratislava
My dream about AI.
TEDx Bratislava is the public talk that holds the route together: restart, study, robotics, GPU computing, and the dream that intelligence must answer to the physical world.
Watch TEDxBegin here
Four places to begin.
Archive routes
Read the record in five routes.
Story for the life. Talks for the public voice. Work for the chapters. Sources for the public record. Writing for the old voice.
Work
The work as four records.
Each chapter asks the same practical question in a different body: what is here, where is it, and what still works after contact with the world?
Applied vision
AI cameras and edge vision
Camera-as-computer prototypes, edge inference, synthetic worlds, and the pressure of making ideas work outside the lab.
Camera-years notes
Spatial intelligence
From pixels to place
Multi-camera calibration, floorplane reasoning, uncertainty, topology, and the work of making observations belong to the same world.
Spatial recordTao
A place built slowly.
Tao is where the work becomes land, water, paths, structures, gardens, seasons, memory, and care.
Over years, rough land became water, paths, planting, structures, and care.
Lineage
Robots, cameras, coordinates, place.
The tools changed from rover simulators and humanoid robots to camera systems, mapped spaces, and land. The recurring question stayed concrete: what is here, where is it, and what still works after contact with the world?
ESA rover
Autonomy and sensing against terrain, uncertainty, and planetary-robotics constraints.
iCub and Aquila
Action, language, neural dynamics, body constraints, and GPU-accelerated experiments.
NVIDIA and CUDA
Early large-scale GPU robotics work made visible through CUDA, GTC, and public talks.
Applied cameras
Perception systems moved outside the lab into edge devices, workflows, and real-world pressure.
Spatial intelligence
Cameras become more useful when observations share coordinates, topology, and uncertainty.
Tao
Land, water, paths, structures, seasons, repair, and memory.