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13 free AV and Robotics engineering calculators — No signup
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Hi all, excited to share our latest work, OK-Robot, which is an open and modular framework to perform navigation and manipulation with a robot assistant in practically any homes without having to teach the robot anything new! You can simply unbox the target robot, install OK-Robot, give it a "scan" (think a 60 second iPhone video), and start asking the robot to move arbitrary things from A to B. We already tested it out in 10 home environments in New York city, and one environment each in Pittsburgh and Fremont. We based everything off of the current best machine learning models, and so…
2024 · ok-robot.github.io
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Generating uncanny AI avatars is now open source
May 2026 · avaturn.live
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- 8OS
Hi I'm Dan from Elodin, making an open source real-time capable flight software simulation. For AI Grand Prix contestants, the wait for the Round 1 virtual qualifier simulation has been grueling. If you’re competing, check out our simulation harness to tide you over, built to match the published competition constraints and message format. It runs against real Betaflight, which we learned requires at least 1000 sensor samples per second to run real-time correctly. The competition warranted introducing a new feature to generate the camera sensor directly in the simulation loop. Typically…
May 2026 · elodin.systems
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Hey HN, My name is Jack Naglieri. I’m the founder of Panther Labs - an SF-based cybersecurity startup. Prior to Panther, I was an engineering manager at Airbnb. Before that a security engineer/analyst/forensic analyst. Today, I’m excited to announce Panther v1.0, an open source, cloud-native SIEM: http://github.com/panther-labs/panther Teams can use Panther as an alternative to traditional SIEMs like Splunk. Panther is the culmination of our team’s experience building security tools at scale, including StreamAlert at Airbnb and critical internal monitoring…
2020
- 10SC
2021 · jvsg.com
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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Hi everyone started this project a year ago to generate the CAD for a Jet Engine Axial Compressor. I am now open sourcing this tool that can take in a JSON file with specs and generate the CAD assembly. Still has a lot of work to improve designs but there isn't anything the Open Source community can't accomplish!
2023 · github.com
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2022 · github.com
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- 20VA
Wrote this to learn more about the `chumsky` parser combinator library, rustyline, and the `ariadne` error reporting crate. Such a nice DX combo for writing new languages. Still a work in progress, but I thought I'd share :)
2025 · github.com
- 21CA
We've been building SensorSurf and are thrilled to share our beta with the robotics community: https://github.com/SensorSurf/agent. SensorSurf is an open source platform that makes it easy for robotics engineers to collect and search data from their fleet. You can define triggers for when to record data (e.g. emergency stop) and capture the moments leading up to the event with rolling buffers. We integrate directly with ROS. Drop our agent into your system, and start collecting data! ================= What prompted me to found this company: > I was a perception engineer…
2023 · sensorsurf.com
- 22FR
I built sensor fusion for a mobile robot and reached for robot_localization like everyone does. After spending too long fighting navsat_transform, UTM zone boundaries, and YAML covariance tuning, I wrote my own. FusionCore is a 22 state UKF that fuses IMU, wheel encoders, and GPS in ECEF directly (no coordinate projection, no extra node). It estimates IMU bias, adapts its noise covariance automatically from the innovation sequence, and gates outliers with a chi squared test on every sensor. I benchmarked it against robot_localization EKF on 6 sequences from the NCLT public dataset…
Apr 2026 · github.com
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We're building software that will allow robotics engineers to skip iterations by simulating designs, with optimal policies found by RL. This web app is a limited preview of some capabilities: you can input various robot specification and get navigation success metrics. Currently this works by matching input paramaters to the closest robot design we actually simulated. Thanks for any feedback on this! For a fuller view of the capabilities, please see: https://www.youtube.com/watch?v=D6wjZLZOmpc. If you want to apply this to a different task, search more designs or deploy this…
2025 · navigation.fabrica.ai
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I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with…
Mar 2026 · phail.ai
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