🤖 Robotics

This is an article that talks about how data is shockingly getting stolen in home spaces, and how important is to own our devices. It explains how to root a Vacuum Cleaner Robot, not just plain tutorial, but showing the politics of it at the same time. TLDR: Your smart home devices are photographing, recording, and selling you. Not hypothetically. Roomba leaked toilet photos, Ecovacs got hacked from a park bench, Vizio was fined for scanning screens 500 times a second, and 30,000 Amazon employees could listen to your Alexa recordings. "Nothing to hide" isn't the point; you close the window before getting dressed. I rooted my vacuum robot with Valetudo, a breakout PCB, and a Debian live USB. Same robot, same features, zero data leaving my house. Tutorial at the end. https://postcapitalistrobots.substack.com/p/i-dont-have-anything-to-hide-said

We recently explored integrating marker-free robot localisation into a collision-aware admittance controller. roboreg estimates the poses of both robots. OpTaS constructs and continuously solves the admittance task subject to spherical collision constraints (visualised as red spheres in RViz). It can't really be "felt" by watching the video, but sliding along these virtual spheres creates quite the surreal sensation. roboreg: github.com/lbr-stack/roboreg OpTaS: github.com/cmower/optas

Most stacks work around this with interpolation and manual tuning, then spend months chasing an estimator problem that is really a clock problem underneath. We ran into same thing building sensor nodes for edge VSLAM. Current firmware still leans on external clock to keep camera and IMU aligned. Next revision removes that dependency, each unit disciplines its own clock on the bus instead of trusting one outside reference. Two units in the test setup below, same mechanism scales to more nodes on one bus.

Everyday I will share a video with you untill I finish this smart IRONMAN project! Tell me your opinion which color to choose?

Not for hire. I just like making stuff This build is being donated to a local makeshop that I am a part of for their presentation at a local robotics convention.

Hey everyone - I'm getting into the robotic space so any researchers can help me understand this would be greatly helpful. I am seeing a lot of data companies trying to build the internet of physical AI - where blue collar workers record the hand position of their work. My question is: How useful is this for robot learning? Which companies are buying this data? Why aren't there more data in regards to UMI gripper and teleops? I know teleops is very expensive and slow but aren't these more beneficial for robot learning, as I see more in house data collection instead. Would love to get your take on this! Thanks!

npx agenticros start realsense npx agenticros start motors npx agenticros connect (Web teleop!) More info at https://agenticros.com

Dyna Robotics says DYNA-2 uses more than 1 million hours of human video to improve robot manipulation, though its scaling results remain internally reported.