r/robotics

This video shows one of China’s massive training labs, but even from video alone, it’s clear that things have already advanced far beyond setups like this.

AI robots working together—boosting efficiency and dialing in precision.

A complete solution and equipment suite—elevating the entire high-end manufacturing industry.

If human demonstration data proves to be the underlying factor that determines scaling laws in general-purpose robotics, the infrastructure that captures that data will determine how fast we get there.

Despite all the research novelty in ChatGPT, its success at its core can be attributed to one foundational fact - the scaling law of transformers. Have transformers made their way into robotics and are we seeing similar scaling laws? The answer is yes. Recent studies showed task completion rates jumping from 30% to 70% when human demonstration data scaled from 1,000 to 20,000 hours — a log-linear trend that mirrors exactly what we saw in language and vision.

Labs are racing to train generalist policies - a robot brain that can solve any task under any embodiment. But the library of physical interactions required to train these policies doesn’t exist yet. Solving this data bottleneck is one of the most important problems for the next few years.

We’ve seen dozens of companies emerge in this space and noticed the same pattern repeat: every egocentric data company makes tradeoffs between quality, scale, and diversity. I have been working at FPV Labs on the principle that high-quality data is orders of magnitude more valuable than sheer volume. Self-driving cars collect thousands of hours per day, but only a small fraction is useful for training. Studies like RT-2 showed that as little as 1% of data improves task success by 25%. There’s clearly a power law in the downstream impact of data.

We spent months obsessing over data quality - building our stack, discarding it, rebuilding it, and iterating until we found a formula that doesn’t compromise quality at scale and laying the infrastructure rails as we embark into this future.

We are excited to be building what we think of is the infra layer for the internet archive of data for our robotic companions of the future. Happy to answer questions about our hardware, data methodology, or what we’ve learned so far.

fpvlabs.ai

Read all of the ROS news on Open Robotics Discourse.
Picture is the Innate.bot MARS robot. They're running a hackathon at YCombinator next Saturday.

i need y'all to give me suggestions for the battery part

im having two 6v n20 600rpm motors

and also the battery is connected to the buck which powers the esp32

the sensors are powered from the esp32 3.3v

all the things are working perfectly

just the prblm im facing is o hVe 7.4v lipo battery

but its too big and bulky for this size and makes it heavier too

so can you suggest some batteries (rechargeable) 7.4v thats smaller and compact in size to fit on the upper part (where my thumb is placed)

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