Robotics

MicroVision has announced plans for a solid-state automotive LiDAR sensor priced under $200, aiming for a long-term goal of $100. This drastic price reduction seeks to move LiDAR from high-end autonomous vehicle programs into mainstream advanced driver-assistance systems (ADAS) by prioritizing manufacturability and high-volume production over maximum range or resolution.

FreeCAD 1.0 is a powerful, open-source parametric 3D modeler for professional design, mechanical engineering, and architecture. It allows users to convert 2D sketches into 3D objects, supports various file formats, and features tools for FEA, BIM, and robot simulation without licensing fees or vendor lock-in.

Tesla's Robotaxi fleet in Austin reported five new crashes via NHTSA data, bringing the total to 14. Analysis shows a crash rate four times higher than human drivers. Tesla remains the only operator fully redacting incident narratives and recently upgraded a past report to include a hospitalization previously undisclosed to the public.

Sowbot is an open-source agricultural robotics ecosystem designed to bridge the gap between prototypes and production. It features modular reference hardware, a Docker-based ROS 2 software stack, and a dual-SBC core for real-time control and AI perception. The project aims to provide researchers and startups with scalable, reproducible, and non-proprietary AgBot solutions.

This project showcases the creation of a massive spinning drone featuring a gimbal-stabilized top platform for orientation. The build emphasizes flight control stability and structural durability, as the drone is designed to withstand combat against over 100 smaller RC airplanes in a large-scale aerial battle scenario.

The Voith Schneider Propeller (VSP) is a highly maneuverable cyclorotor marine propulsion system. Invented by Ernst Schneider and produced by the Voith Group since 1926, it uses vertical hydrofoil blades to provide instantaneous thrust in any direction, eliminating the need for a rudder and proving ideal for tugs, ferries, and minesweepers.

The author documents a six-month project building a custom electric tractor for children using a 350W brushed DC motor and a 36V ebike battery. The construction highlights mechanical engineering challenges, including a plywood chassis, a steering system inspired by the Ferguson TE20 using repurposed angle grinder gears, and a modified solid rear axle. Technical hurdles such as lathe limitations for shaft turning and axle bolt shearing are discussed, along with solutions like manual countershafts for gear reduction and welding. The project also covers electrical implementation, including a DPDT switch for reverse gear and a discarded Arduino-based throttle conditioner. Despite minor handling issues and welding learning curves, the project serves as both a functional toy and an educational experience in metalwork and fabrication.

This schedule highlights a diverse array of sessions from a major open-source conference, likely FOSDEM, covering critical domains in the tech industry. Key topics include security infrastructures, such as finding backdoors with fuzzing and managing vulnerabilities in open-source projects. Infrastructure and virtualization are heavily featured, with talks on Kubernetes live migration, Ceph S3 storage optimization, and running Wikipedia on bare metal. The legal and policy track addresses modern challenges like the Cyber Resilience Act (CRA) and online safety laws. Emerging hardware technologies are also showcased through RISC-V development and eBPF monitoring frameworks. Furthermore, the schedule explores community-driven initiatives like the Italian Fediverse and sustainable funding models for FOSS. Significant technical discussions include modernizing the GNU Toolchain for AArch64 and addressing the year 2038 rollover problem. Collectively, these sessions represent the current state of decentralized software development, highlighting the intersection of technical excellence, community governance, and legal compliance.

A software developer reflects on learning robotics using an Arduino starter kit. The experience highlights how the physical world teaches systems-level thinking, handling non-deterministic feedback loops similar to AI agentic workflows, and strengthening fundamental engineering principles. Interacting with hardware provides tangible satisfaction and develops intuition for building complex, real-world systems in the age of AI.