Max CC 리트윗함
Max CC
5 posts
Max CC 리트윗함
Introducing the PrismaX Regional Ambassador Program.
A select cohort of regional leaders building local PrismaX communities in their language, region, and time zone.
Applications open today 👉 forms.gle/3Hfo8yEEKsGLeo…
English
𝐁𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐢𝐬𝐦𝐚𝐗 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲
As a Discord contributor, I kept noticing one thing.
People were missing events.
Check it here
prismax-event-manager.vercel.app
Not because they didn’t care, but because they simply forgot or didn’t get notified on time.
This was happening a lot, especially with regional events.
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𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐭
So I created a simple platform focused on solving this.
A place where you can see all PrismaX events in one view.
It mainly focuses on regional events, but also includes global events happening throughout the week.
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𝐇𝐨𝐰 𝐢𝐭 𝐡𝐞𝐥𝐩𝐬
You can set reminders for any event.
➙ Get notified 30 minutes before the event
➙ Get a second alert 5 minutes before it starts
So even if you forget, the system reminds you at the right time.
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𝐅𝐨𝐫 𝐡𝐨𝐬𝐭𝐬
If you want to host an event, there’s a simple way to apply.
You just need to enter:
➙ Your Discord username
➙ Your Discord name
➙ The game or event you want to host
That’s it.
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𝐖𝐡𝐲 𝐈𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬
In a fast-moving community like PrismaX, events are where people learn, connect, and grow.
Missing them means missing opportunities.
This is just a small effort to make sure more people stay connected and don’t miss out.
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𝐂𝐡𝐞𝐜𝐤 𝐓𝐡𝐞𝐬𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐋𝐢𝐧𝐤𝐬
Linktree - linktr.ee/PrismaX_AI
Discord - discord.gg/prismaxai
X account - @prismaxai
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gPrisma
@vivianrobotics @MaxC16134
English
Max CC 리트윗함
Princeton's Introduction to Robotics! 🎓
@Princeton University released their full Introduction to Robotics course publicly with lecture videos, notes, slides, and assignments.
This course provides fundamental theoretical and algorithmic principles behind robotic systems with hands-on experience.
Topics covered:
→ Feedback Control (dynamics, PD control, Linear Quadratic Regulator)
→ Motion Planning (discrete planning with BFS/DFS, optimal planning with Dijkstra/A*)
→ State Estimation, Localization, and Mapping (Bayes filtering, Kalman filtering, particle filtering, SLAM)
→ Vision and Learning (optical flow, deep learning, convolutional networks, reinforcement learning), and broader topics including robotics and law, ethics, and economics.
Assignments include theory, programming, and hardware implementation components. The final project has students program drones for vision-based navigation with attached cameras transmitting real-time images.
All lecture videos, notes, slides, and assignments are freely available. Prerequisites include multivariable calculus, linear algebra, basic probability, basic differential equations, and some programming experience in Python.
‼️ GO FOR IT: irom-lab.princeton.edu/intro-to-robot…
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♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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