GPU Computing for Cognitive Robotics
The technical foundation: iCub humanoid learning, computer vision, neural networks, and GPU acceleration.
Plymouth PhD thesis recordSources
Plymouth PhD thesis, TEDx Bratislava, ESA ACT rover collaboration, NVIDIA CUDA Spotlight, Aquila papers, GTC material, AI cameras / applied vision sources, photographs, spatial objects, and older links that keep the work traceable.
Start here
If you only open four things, open the thesis, TEDx, the ESA rover page, and the CUDA/NVIDIA sources.
The technical foundation: iCub humanoid learning, computer vision, neural networks, and GPU acceleration.
Plymouth PhD thesis recordA public telling of the early story: robots, restart, study, and the long route into artificial intelligence.
TEDxBratislava talk pageThe public ESA record for rover simulation, active vision, and island-model neuro-controller work with the Plymouth group.
ESA ACT rover recordThe public CUDA Spotlight record connecting iCub research, GPU acceleration, and the early GPU robotics period.
NVIDIA CUDA SpotlightPublic trail
Start here if you need the shortest public record: Plymouth thesis, TEDxBratislava talk, ESA rover study, NVIDIA CUDA Spotlight, Aquila publication records, DBLP bibliography, Plymouth profile, and the public video archive.
Profiles and indexes
These are the main public sources for the current Martin Peniak record.
How to read this page
The list mixes formal publications, public talks, photographs, and local archive copies. The labels below keep those roles clear.
Institutional repositories, official event pages, and published profiles that establish the main timeline.
Peer-reviewed papers, conference material, ESA/NVIDIA records, software pages, and technical demos.
Metadata-cleaned PDFs and files kept locally so old public work remains reachable.
Images and event records that show where the work happened and how it entered the world.
Foundations
These are the source materials behind the iCub, Aquila, CUDA, and rover-simulation work.
University of Plymouth PhD thesis on cognitive robotics, iCub humanoid learning, neural networks, action-language acquisition, computer vision, and GPU acceleration.
Plymouth PhD thesis repositoryAquila 2.0 framed the robotics work as reusable infrastructure: heterogeneous CPU/GPU modules, loosely coupled GUIs, and scalable tools for cognitive-robotics experiments.
Aquila 2.0 publication recordPeer-reviewed IJCNN record for the Aquila cognitive and neuro-robotics toolkit, connecting open software with GPU-accelerated robotics experiments.
Aquila open-source toolkit recordGTC 2012 poster from the pre-CNN-boom GPU-compute era: iCub action acquisition with multiple time-scales recurrent neural networks, Aquila, CUDA, and measured GPU speedups.
NVIDIA GTC 2012 poster PDFNVIDIA-hosted GTC slides presenting Aquila as a GPU-accelerated toolkit for cognitive and neuro-robotics research.
NVIDIA Aquila webinar slidesPhotograph of Martin Peniak presenting the GPU-accelerated cognitive-robotics and Aquila work at NVIDIA GTC in 2014.
Robotika.SK/STU Bratislava announcement for a talk on iCub action-language learning, MTRNN models, Aquila, iTALK, and CUDA acceleration.
Robotika.SK 2011 talk pageOpen-source project page for Aquila: software architecture for cognitive robotics, with modular CPU/GPU tooling.
Aquila SourceForge projectESA Advanced Concepts Team project page listing the Plymouth and ESA participants, including Martin Peniak, for island-model neuro-controller work for rover control.
ESA ACT Evolution in Robotic Islands pagePhotograph from the ESA-linked Mars rover collaboration, showing Martin Peniak with the rover research platform in the test setting.
Group photograph from the ESA-linked Mars rover collaboration around Evolution in Robotic Islands, rover simulation, active vision, and neuro-controller research.
Photograph with colleagues at ESA ACT in Noordwijk during the 2010 Mars rover collaboration, with the simulator work visible in the room.
ESA-hosted final report for the Evolution in Robotic Islands study, with Cangelosi, Marocco, Peniak, and ESA collaborators.
ESA Robotic Islands final reportPublic article on the Plymouth and ESA collaboration, Mars Rover Simulator, active vision, and island-model rover-controller work.
ERCIM article on autonomous Mars roversESA-hosted paper on autonomous navigation, rover simulation, and neuro-controller optimization for planetary exploration.
ESA rover paper PDFWorkshop paper connecting evolutionary robotics, camera control, and planetary-rover navigation under unknown terrain constraints.
ESA active-vision workshop paperResearch around recurrent neural networks, temporal structure, and complex action learning for humanoid robotics.
Frontiers MTRNN action-acquisition recordResearch on making larger action-learning experiments practical through GPU acceleration.
Manchester GPU action-learning recordLater publication connecting embodied input, learning, and language generalisation.
Autonomous Robots language-generalisation paperDevelopmental robotics context for individual, social, and linguistic learning in robots.
iTALK project university recordPlanetary-rover simulation and controller-design work related to the ESA rover-control research.
ESA ACT rover project pageUniversity publication record for simulated Mars rover explorer work and controller/sensing co-evolution.
Manchester rover co-evolution recordArchive PDFs
Metadata-stripped archive derivatives for older papers, posters, and talk files that are part of the public research record. External canonical links remain preferred where available.
Early ESA workshop source for rover simulation and autonomous controller design.
Local archive PDFRover simulation paper on controller and sensing co-evolution.
Local archive PDFPoster source for active vision, Mars rover simulation, and ESA-linked research.
Local archive PDFWorkshop paper on camera control and rover navigation under unknown conditions.
Local archive PDFPaper on evolving neuro-controllers for planetary rover control.
Local archive PDFRover navigation and active perception under physical uncertainty.
Local archive PDFOne-page source tied to the PCCAT best paper award certificate.
Local archive PDFHumanoid robotics source around action, language, and embodied learning.
Local archive PDFArchive copy of the Aquila open-source GPU-accelerated cognitive robotics paper.
Local archive PDFAction-learning source around recurrent neural networks, iCub, Aquila, and GPU acceleration.
Local archive PDFNVIDIA GTC poster source for early GPU-accelerated action acquisition.
Local archive PDFArchive slide deck for the NVIDIA GTC Express webinar.
Local archive PDFArchive source for the Aquila 2.0 cognitive-robotics software architecture paper.
Local archive PDFStatic copy of the Robotika.SK talk announcement for action and language in humanoid robots.
Local archive PDFSlide archive for active vision, rover simulation, and camera movement as part of perception.
Local archive PDFProfiles, articles, and talks
External profiles, interviews, articles, technical sources, and talks sit beside the research record.
NVIDIA/CUDA spotlight around GPU acceleration and cognitive robotics research.
NVIDIA CUDA SpotlightTEDx Bratislava talk connecting the personal story, artificial intelligence, humanoid robotics, and engineering optimism.
TEDxBratislava speaker page2016 long-form feature connecting the Slovak builder-to-robotics story with GPU computing, iCub, NVIDIA, ESA, and visual search.
Second Home Medium featureUniversity profile focused on the PhD topic, ESA rover collaboration, NVIDIA internship, Aquila, TEDx, and the early NVIDIA CUDA Teaching Center contribution at Plymouth.
University of Plymouth profilePhotograph with Martin Peniak, supervisor Angelo Cangelosi, colleagues, student and co-author Barry Bentley, and the iCub platform in the Plymouth robotics lab.
Plymouth iCub research group photographOfficial RobotCub summer school page for VVV ’09, paired with a photograph of Martin Peniak with iCub during the 2009 summer school.
Photograph of the Science Museum London iCub display showing Martin Peniak’s robotics video inside the exhibit.
Science Museum iCub exhibit photographPhotograph of Martin Peniak and the iCub humanoid robot in a Manchester space-exhibition setting.
Manchester space-exhibit iCub photographCollage from a free telescope evening at Plymouth Hoe, connecting the Plymouth work-study years with astronomy, astrophotography, and public curiosity.
Plymouth Hoe telescope night photographClipping from Slovak press showing the iCub humanoid robotics work alongside the rover and space-research work.
Slovak press clippingBibliographic index for Martin Peniak publications and research records.
DBLP publication profileResearch profile listing publications and citation context.
ResearchGate profileAcademic search profile for research discovery and citation links.
Google Scholar citation profileArchive
Some older blog and project links now resolve to concise internal pages so useful references do not disappear.
GPU-accelerated cognitive robotics toolkit context for iCub, CUDA, and modular CPU-GPU experimentation.
Aquila archive pageOpen-source rover simulation and ESA planetary robotics research around active vision and island-model optimization.
Mars Rover Simulator archive pagePreserved technical note for old developer citations to global CUDA thread indexing examples.
CUDA indexing noteStable context for Up Squared, Intel Myriad X, Google TPU, and early camera-as-computer prototypes now lives on the AI cameras page.
AI cameras pageAI cameras / applied vision sources
These source links connect the robotics/GPU work to later camera-as-computer systems, edge inference, Generator, and spatial calibration.
Cortexica material around ingress workflows and edge inference using Intel Movidius/Myriad-style hardware.
Open Cortexica edge-vision materialPublic arXiv record from the Cortexica-era AI cameras / applied vision period, connecting scalable image analysis, sandboxed execution, and practical vision systems.
arXiv large-scale image-analysis paperGuest article on UP Squared, Movidius AI Core, edge inference, and the bridge from GPU robotics to AI camera prototypes.
UP Board edge-computing articleVideo overview tying applied computer vision, edge AI, and working camera systems into one industry-era arc.
The Path of Innovation videoVideo showing early AI camera and edge-perception prototypes.
CortexiCAM Myriad-X videoVideo of synthetic worlds, known cameras, controllable truth, and repeatable perception experiments.
Generator v1.0 synthetic-world videoThe site page connects edge vision, synthetic truth, and the multi-view fused-cloud precursor.
AI cameras page