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@Ramo

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Since 06.06.2026

AV Obstacle Overtaking using GPMP2(reddit.com)
We recently open-sourced our implementation of obstacle overtaking using GPMP2 (Gaussian Process Motion Planning). The project demonstrates trajectory optimization for autonomous overtaking by representing robot trajectories as continuous-time Gaussian Processes and optimizing them as a factor graph. Instead of sampling-based planning, the approach jointly minimizes smoothness and obstacle costs while satisfying vehicle dynamics constraints, producing collision-free and dynamically feasible trajectories. Some highlights: GPMP2-based trajectory optimization using factor graphs Integration with robotics simulation for reproducible experiments Clear codebase that can serve as a starting point for researchers and students working on motion planning If you're working on motion planning, trajectory optimization, autonomous driving, or robotics, I'd love to hear your thoughts, suggestions, or ideas for extending it. Repository: https://github.com/AutonomousVehicleLaboratory/obstacle-overtaking-gpmp2 submitted by /u/Turbulent_Leek8446 [link] [Kommentare]
🎂 Stack-chan Birthday Party 2026 was held in Tokyo, Japan!(reddit.com)
Stack-chan’s birthday is July 2. It all started with this first post on July 2, 2021: https://x.com/meganetaaan/status/1410631124045291521?s=20 Since then, we have celebrated Stack-chan’s birthday every year with the community. This year, we held “Stack-chan Birthday Party 2026” in Tokyo, Japan. https://preview.redd.it/bhaewzjw6bbh1.jpg?width=4096&format=pjpg&auto=webp&s=1b9d50e2071ffcf838ac8770ac51e6c1735f0664 More than 80 people joined us on-site, making it one of the liveliest Stack-chan gatherings yet. Many community members shared their projects, updates, and ideas, and we were also very happy to welcome the M5Stack team from Shenzhen, which made this year’s event even more special. Stack-chan is an open-source palm-sized communication robot, but more than that, it has grown through the creativity and continuous participation of its community. Over the past five years, people have built new mods, applications, faces, voices, hardware variations, and many other experiments around Stack-chan. Thank you to everyone who joined, presented, supported the event, or has contributed to Stack-chan in any way. Event page: https://stack-chan.connpass.com/event/394846/ YouTube archive: https://www.youtube.com/live/7sIlyWFUqsw?si=Qg_RtoDIF2dEoZFe Happy birthday, Stack-chan! submitted by /u/Few_Competition6685 [link] [Kommentare]
Advice for building multiple small differential-drive robots for a chess project(reddit.com)
I’m working on a hardware graduation project where I want to build several small wheeled robots for a chess-related system. The idea is that each robot has two driven wheels, and one main controller coordinates all the robots. I’m new to multi-robot systems and differential-drive kinematics, so I’m trying to understand what I should learn first. My main questions are: - Is a central “master controller” architecture reasonable for coordinating multiple small robots, or should each robot handle more decisions locally? - For two-wheel robots, should I start by learning differential-drive kinematics, odometry, PID motor control, or something else first? - What sensors would be realistic for tracking robot positions on a chessboard or flat surface? - Are there beginner-friendly resources, papers, or open-source projects I should study before designing the system? submitted by /u/qwerty102q [link] [Kommentare]