Just came across this turn key modular consumer robotic arm that offers hardware and software integration all in one package. Question: Does anything like this exists for industrial application under $5k, each module made out of stainless steel or aluminum and comes with easy to use software integration (machine vision etc)? submitted by /u/innomind [link] [Kommentare]

Posting an update here with simplified PCB and robustness. Mighty Camera runs VIO on-device in a tiny package. But for it to be useful, you need things like mapping (and later occupancy, loop closure etc). Here is a demo of lightweight mapping which uses VIO pose from Mighty and generates a semi-dense map on host-side in realtime. It’s early but this will be part of the SDK along with other goodies. submitted by /u/twokiloballs [link] [Kommentare]

Hi all, I’m trying to understand how people working with physical AI, embodied AI, robotics, or VLA models think about benchmarks in practice. This is not a product promotion or a request for upvotes. I’m looking for practical perspectives from people who run, read, or rely on benchmark results. A few questions: - Which benchmarks do you actually pay attention to? - Do benchmark scores influence model, policy, or framework choices, or are they mostly sanity checks? - What makes a benchmark result credible to you? - How much do you trust simulated task results compared with real-robot or hardware-in-the-loop results? - What are the biggest red flags when you see a physical AI benchmark claim? I’m especially interested in how people separate useful evidence from leaderboard noise, overfitting, cherry-picked demos, or unclear evaluation protocols. If this is too broad for this subreddit, I’m happy to narrow the question. submitted by /u/Confident_Gas_5266 [link] [Kommentare]

A list and links to trailers for everything that was shown off in Geoff Keighley's showcase today submitted by /u/Skeith-Reviews [link] [Kommentare]