<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ContentLora: Robotics and embodied AI</title><description>New and updated Robotics and embodied AI pages on ContentLora.</description><link>https://contentlora.com/</link><language>en</language><atom:link href="https://contentlora.com/topics/robotics/feed.xml" rel="self" type="application/rss+xml"/><item><title>Figure AI</title><link>https://contentlora.com/wiki/figure-ai/</link><guid isPermaLink="true">https://contentlora.com/wiki/figure-ai/</guid><description>Figure AI builds general-purpose humanoid robots and its own Helix AI model. Its robots, BMW deployments, funding and 2026 milestones.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Gemini Robotics</title><link>https://contentlora.com/wiki/gemini-robotics/</link><guid isPermaLink="true">https://contentlora.com/wiki/gemini-robotics/</guid><description>Gemini Robotics is Google DeepMind&apos;s family of robot AI models. What it does, how it evolved from RT-2 to Gemini Robotics 2, and its limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>NVIDIA Isaac GR00T</title><link>https://contentlora.com/wiki/isaac-gr00t/</link><guid isPermaLink="true">https://contentlora.com/wiki/isaac-gr00t/</guid><description>Isaac GR00T is NVIDIA&apos;s platform of open humanoid robot foundation models, simulation tools and reference hardware. Versions, data and partners.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Open X-Embodiment</title><link>https://contentlora.com/wiki/open-x-embodiment/</link><guid isPermaLink="true">https://contentlora.com/wiki/open-x-embodiment/</guid><description>Open X-Embodiment is a pooled dataset of 1M+ robot trajectories from 22 robot types and the RT-X models trained on it. Why it mattered.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Physical Intelligence</title><link>https://contentlora.com/wiki/physical-intelligence/</link><guid isPermaLink="true">https://contentlora.com/wiki/physical-intelligence/</guid><description>Physical Intelligence (π) is a startup building general-purpose robot foundation models such as π0 and π0.5. Its models, data approach and funding.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Tesla Optimus</title><link>https://contentlora.com/wiki/tesla-optimus/</link><guid isPermaLink="true">https://contentlora.com/wiki/tesla-optimus/</guid><description>Optimus is Tesla&apos;s humanoid robot. Its history since 2022, the Fremont and Texas factory plans, repeated delays and status as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Unitree Robotics</title><link>https://contentlora.com/wiki/unitree-robotics/</link><guid isPermaLink="true">https://contentlora.com/wiki/unitree-robotics/</guid><description>Unitree Robotics is a Hangzhou maker of quadruped and humanoid robots. Its shipments, 2026 Shanghai IPO, the US import ban, and role in research.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Waymo</title><link>https://contentlora.com/wiki/waymo/</link><guid isPermaLink="true">https://contentlora.com/wiki/waymo/</guid><description>Waymo runs driverless robotaxis in US cities. Its scale, safety data and AI approach, and why self-driving cars matter for embodied AI.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Robotics and embodied AI tracker: milestones to watch</title><link>https://contentlora.com/events/robotics-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/robotics-tracker/</guid><description>A running timeline of milestones in robot foundation models, humanoids and self-driving since the 2023 start of the VLA era, updated as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>robotics</category><category>ai</category></item><item><title>Are humanoid robots ready for real work? The 2026 debate</title><link>https://contentlora.com/analysis/humanoid-robots-readiness-debate/</link><guid isPermaLink="true">https://contentlora.com/analysis/humanoid-robots-readiness-debate/</guid><description>Evidence on whether humanoid robots and robot foundation models are ready for factories and homes, with competing views on data, demand and safety.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>robotics</category><category>ai</category></item><item><title>How robots learn: demonstrations, trial and error, and data</title><link>https://contentlora.com/explain/how-robots-learn/</link><guid isPermaLink="true">https://contentlora.com/explain/how-robots-learn/</guid><description>A plain guide to how modern robots learn skills from human demonstrations, reinforcement learning and pooled datasets, and why data is the bottleneck.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>robotics</category><category>ai</category></item><item><title>Robotics and embodied AI in 2026: a crash course</title><link>https://contentlora.com/explain/robotics/</link><guid isPermaLink="true">https://contentlora.com/explain/robotics/</guid><description>A crash course on robotics and embodied AI as of October 2026: how robots learn, robot foundation models, humanoids, self-driving and the open debates.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>robotics</category><category>ai</category></item><item><title>Sim-to-real: training robots in simulation for the real world</title><link>https://contentlora.com/explain/sim-to-real-transfer/</link><guid isPermaLink="true">https://contentlora.com/explain/sim-to-real-transfer/</guid><description>How robots are trained in simulated worlds and then moved to real hardware, what the &quot;reality gap&quot; is, and how domain randomization bridges it.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>robotics</category><category>ai</category></item><item><title>Vision-language-action models: how robot foundation models work</title><link>https://contentlora.com/explain/vision-language-action-models/</link><guid isPermaLink="true">https://contentlora.com/explain/vision-language-action-models/</guid><description>What vision-language-action (VLA) models are, how they turn camera images and instructions into robot motion, and the main models as of 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>robotics</category><category>ai</category></item></channel></rss>