Thomas Kollar
@tkollar
Head of AI @ Wayve; ex-Research Manager @ TRI; ex-Amazon; ex Apple. CMU / MIT
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Nissan and #Wayve have signed a partnership agreement that will bring our next-gen #ProPILOT driver assistance tech powered by Wayve #AI to a broad range of #Nissan vehicles. Nissan aims to first launch the next-gen tech in Japan in fiscal year 2027. global.nissannews.com/en/releases/25…
GAIA 3 introduces four powerful new capabilities that unlock richer and more scalable evaluation of autonomous driving systems. 🌍 🧵 Follow the thread below to see examples of; 1. Long perturb generations 🚗 2. Safety augmentations ⚠️ 3. Semantic augmentations 🌤️🌅🌙 4.…
It's awesome to be back in the Bay Area this week at @wayve_ai's other North American office. I can't wait to test the massive progress the team's been making on rides around the Bay Area and city while I'm here, and to meet with our science leaders @vijaycivs @tkollar…
By first developing some of the best Vision-Language Models with Prismatic at TRI: github.com/TRI-ML/prismat… OpenVLA was able to quickly build some of the best generalist policies for robotics. Code, data and weights are all open-source: openvla.github.io This is a great…
✨ Introducing 𝐎𝐩𝐞𝐧𝐕𝐋𝐀 — an open-source vision-language-action model for robotics! 👐 - SOTA generalist policy - 7B params - outperforms Octo, RT-2-X on zero-shot evals 🦾 - trained on 970k episodes from OpenX dataset 🤖 - fully open: model/code/data all online 🤗 🧵👇
Recurrent models like RWKV and Mamba have gained attention recently, but these can be costly to train and iterate on. What if we could simply... turn Mistral/Llama/Gemma into an RNN? 🎩🪄 Presenting our work, Linearizing Large Language Models! arxiv.org/abs/2405.06640
After two years, it is my pleasure to introduce “DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset” DROID is the most diverse robotic interaction dataset ever released, including 385 hours of data collected across 564 diverse scenes in real-world households and offices
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