The neurophysiological disorder is characterized by a severe aversion to sound—and the struggle to convince others of the severity of that aversion.
What makes certain programming languages flourish while others languish? What have natural languages to teach us in this?
Alt Carbon said the agreement followed more than a year of scientific review and due diligence, with Microsoft requiring additional verification and data-sharing measures.
Someone once asked me whether you can join a dysfunctional company and still have a good career. They assumed dysfunction is rare—something you'd see in advance and choose to join or avoid. But my experience is that most companies are dysfunctional in some significant and non-immediately obvious way, so
I put together a small ROS 2 subsystem that turns a 2-DOF pan/tilt platform and a cheap 2D LiDAR into a stop-and-capture 3D scanner, and figured it might be useful to someone else here. The setup: two Feetech STS3215 serial-bus servos aim an LDROBOT LD19. A node sweeps the platform and an assembler stacks the 2D scans into a `PointCloud2` using the live TF tree. There's an optional MQTT bridge so an external controller (in my case a microcontroller mission queue on a rover) can trigger scans and get a completion handshake back. It's a *complete* project — it even includes a fix to the LiDAR driver (upstream `ldlidar_stl_ros2` won't build on recent GCC/glibc; the patched fork is linked below). It talks to the rover over a well-defined set of MQTT messages, but every command also has an equivalent ROS 2 topic, so if you want a pure ROS 2 setup you just don't launch the bridge. (Personally I love the MQTT side — it lets me drive the whole thing from a tablet.) No vendor SDK — the Feetech STS/SMS half-duplex protocol is implemented directly over pyserial, including handling the URT-1 adapter's habit of echoing every TX byte back on the RX line (the kind of thing that eats an evening if you don't know it's coming). The assembler is driver-agnostic: it consumes standard `sensor_msgs/LaserScan` on `/scan`, so any conformant 2D LiDAR should work. It's running on an RK3588 today and is built to go headless on a Pi 5. This is the first piece I'm open-sourcing from a larger autonomous rover project, GPL-3.0. I'd genuinely welcome feedback — particularly from anyone who's done multi-LiDAR or TF-timing work, since the scan-to-TF synchronization was the fussiest part to get right. But it does work! Happy to answer questions about any of it. Project: https://github.com/aa2mz/pan\_tilt\_lidar Patched LiDAR driver: https://github.com/aa2mz/ldlidar\_stl\_ros2 submitted by /u/CorrectAir8833 [link] [Kommentare]
At a time when concerns about inequality are high and public attitudes toward the ultra-wealthy have soured, Musk has managed to retain a loyal following.
A post-mortem on cheating, AI slop, the slow death of competitive CTFs, and a short analysis on the pitfalls of CTF challenge design.
Hi everyone, I wanted to share our latest open-access paper published in the journal Robotics: Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. The Problem Traditional industrial robot calibration heavily focuses on a single goal: maximizing absolute end-effector position accuracy. However, purely optimizing for position errors often results in the algorithm recommending unrealistic, drastic shifts to the robot’s physical kinematic structure (its Denavit–Hartenberg parameters). This creates a stark deviation from the manufacturer's nominal specifications and can degrade performance across different areas of the workspace. Our Approach We framed this challenge as a multi-objective optimization problem to strike a balance between two competing goals: Position Accuracy: Minimizing discrepancies using joint angle readings and a high-precision laser tracker (LT). Kinematic Realism: Minimizing the mean absolute deviation of the calibrated DH parameters from the manufacturer's original design specs. To find the optimal trade-off, we deployed and benchmarked several leading evolutionary and swarm optimization algorithms: NSGA (Nondominated Sorting Genetic Algorithms) MOEA/D (Multi-Objective Evolutionary Algorithm based on Decomposition) MOPSO (Multi-Objective Particle Swarm Optimization) Key Takeaways Utilizing a multi-objective framework prevents overfitting to specific target points and keeps the structural kinematic parameters physically viable. Swarm and evolutionary approaches excel at generating an adaptable Pareto front, giving automation engineers finer control over calibration tradeoffs. The full methodology, mathematical formulations, and comparative results are available to read for free on the MDPI Robotics Publication Page. I would love to hear the community's thoughts on using meta-heuristics for kinematic calibration, or answer any questions you might have about our experimental setup and algorithm performances! submitted by /u/MAK42018 [link] [Kommentare]
I am 16 years old and have absolutely no experience with Linux, and I am looking for a ROS 2 course. While the courses offered by The Construct seem quite comprehensive, I am concerned about some issues others have reported, such as incorrect quizzes, shallow content, or general quality problems. If you have experience with their courses, could you share how it went, or would you recommend other structured courses instead? submitted by /u/Initial_Animator1465 [link] [Kommentare]
Hello, I am trying to get back into the Robotics industry after years as an SWE and find a job. I am based in Chicago so I was thinking of getting an all access pass to network for a job, and take some courses. I am currently unemployed. Does anyone know the best way to network at these things? Are the courses worth it? Does anyone have a coupon to reduce the cost? i would be paying out of pocket and I am unemployed so i figured i would ask. Thanks for your advice! submitted by /u/RickAmes [link] [Kommentare]
MiMo-V2.5-Pro-UltraSpeed from Xiaomi blows past the speed threshold custom silicon companies spent years building toward—on regular GPUs.