O'Shaughnessy Ventures Supports Robotics Innovator Alexandros Petkos
O'Shaughnessy Ventures has awarded a $100,000 fellowship to Alexandros Petkos, a young robotics engineer based in Athens, Greece, announced in a press release. Petkos plans to use the fellowship to develop open-source, general-purpose autonomous robots designed to perform hazardous and repetitive tasks.
Petkos, who has been recognized for his work in robotics since his teenage years, aims to address labor shortages across various industries by integrating advanced AI models into these robots. His previous achievements include building a robot capable of lifting and placing cardboard boxes and a four-legged robot that can walk and navigate, which earned him a spot on Forbes Greece's '30 Under 30' list in 2022.
The O'Shaughnessy Fellowships program, launched in 2023, seeks to empower creators and innovators by providing financial support and access to a network of experts. Petkos is the eleventh fellow announced in 2025, with the program planning to award a total of 12 fellowships this year.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Aristotle Raises $5 Million for Voice AI Tutoring Platform
SafeWorld Raises $12.2 Million for Robot Safety Simulations
Origin Raises $20 Million for Autonomous Construction Robots
Optro Expands Partner Program With Funding and New Tracks
Viabot Raises $24 Million for Outdoor Property Care Robots
Daily AI Brief: the AI news that matters, in your inbox.