Dr Martin Peniak
Dates, roles, and technical areas kept concise. The fuller narrative lives on Story, and the documentary record lives on Sources and Talks.
Profile
Engineer and researcher whose work spans iCub humanoid robotics, CUDA-accelerated cognitive robotics, the Aquila toolkit, ESA autonomous rover research, Cortexica machine vision and edge AI, and later applied computer vision and spatial systems work.
Primary records
Experience
Senior innovation and prototyping across camera networks, edge inference, spatial calibration, synthetic scenes, and place-aware vision work. Public examples sit on Work, Sources, and Talks.
Research-to-working-systems innovation across machine vision, edge AI, mobile inference, AR/VR prototypes, and applied computer vision.
GPU/OpenCL/CUDA optimization, high-performance image-processing pipelines, deep learning experiments, cloud systems, and edge deployment work.
CUDA and parallel-programming teaching, GPU computing lab work, and research infrastructure for cognitive robotics, including the early NVIDIA CUDA Teaching Center contribution at Plymouth.
Research internship context connected to the Plymouth iCub work, Santa Clara HQ presentation, CUDA spotlight, GTC 2012 poster, GTC 2014 presentation, and SC11 keynote reference.
NVIDIA
The original 2012 NVIDIA intern badge sits beside the public sources from that period: the invited Santa Clara HQ presentation, NVIDIA CUDA spotlight, GTC poster on GPU-accelerated action acquisition, GTC 2014 presentation, and SC11 keynote reference. Together they connect the Plymouth iCub research to the early GPU-computing period.
Education
Technical areas
Site map
The CV stays compact; the sources, talks, and work pages carry the deeper material.
