AI Coding: A Thrilling Journey by Xcf Seetan

From the Heart to the Octopus Arm: a New Era for Multi-Material 3D Printing A team from the University of Colorado Boulder has just introduced OpenVCad, the first open-source software that makes it possible to 3D print objects composed of multiple materials blended seamlessly, not in layers, but in gradients. The innovation, led by Robert MacCurdy and his group, allows for the creation of “functionally graded materials,” where rigidity, density, or elasticity can change smoothly within the same object. Imagine a robotic tentacle that bends like an octopus arm, or a heart model that mimics the texture of real tissue, all printed in a single run. Traditionally, 3D printing could only switch between materials in discrete steps. OpenVCad instead generates “gradient-informed” toolpaths, continuously varying parameters like material mix, extrusion temperature, or density. The result is a far more natural, efficient, and sustainable way of fabricating complex parts. It’s a breakthrough that bridges engineering, biology, and design — showing how open tools can democratize advanced manufacturing. 👉 Explore the project here: https://lnkd.in/dfzDv-Ki #3Dprinting #OpenSource #Innovation #AdditiveManufacturing

#LegoBuilding was the easy part… 10 minutes later 😅 I built the #LegoSpikePrime robot today. It was a great mix of fun & learning! It’s amazing how a few colourful bricks can teach so much about #Problem_Solving, #Coding, & #CreativeThinking. This will be part of the #Pathway programmes run by #MSLETB for #TY students this year in the #XRHubSligo Robotics & 3D Printing learning that’s hands-on & creative. 🎥 Here’s how it went... 3:24 #XRHubSligo #MSLETB #STEM #LegoSpikePrime #Robotics #Lego #LearningThroughPlay #TeamMSLETB #Coding #Python #TYStudents Peter Egan | Siobhan Magner | Megan Depinna | David Downey | David McGuinness | Mayo, Sligo and Leitrim Education and Training Board | Carol Murphy |

#LegoBuilding was the easy part… 10 minutes later 😅 I built the #LegoSpikePrime robot today. It was a great mix of fun & learning! It’s amazing how a few colourful bricks can teach so much about #Problem_Solving, #Coding, & #CreativeThinking. This will be part of the #FET #Pathway programmes run by #MSLETB for #TY students this year in the #XRHubSligo Robotics & 3D Printing learning that’s hands-on & creative. 🎥 Here’s how it went... 3:24 #XRHubSligo #MSLETB #STEM #LegoSpikePrime #Robotics #Lego #LearningThroughPlay #TeamMSLETB #Coding #Python #TYStudents Peter Egan | Siobhan Magner | Megan Depinna | David Downey | David McGuinness | Mayo, Sligo and Leitrim Education and Training Board | Carol Murphy | Margaret McDermott

Meet the Tetrapod “Spider” Robot, a creation by Augusto Vanegas from Moonlighter FabLab for Fab Academy 2025, a four-legged robot inspired by sci-fi, built from the ground up through digital fabrication and creative experimentation. Powered by a Seeed Studio XIAO ESP32-S3, this small yet capable robot walks, responds to commands, and showcases how design thinking, fabrication, and programming can come together to make robotics accessible and fun. From 3D-printing the legs and chassis to designing his own custom PCB, Augusto combined engineering precision with artistic curiosity. The robot can be wirelessly controlled through a custom interface he designed himself proving that hands-on learning can be both technical and imaginative. More than a personal project, this robot serves as an educational showcase for Moonlighter Fab Lab, inspiring students to explore robotics, coding, and fabrication with open-source tools and Seeed hardware. 🔗 Explore the full project: https://lnkd.in/gGtJFuzK #FabXIAO #DigitalFabrication #FabLabs #SeeedStudioXIAO #fabriXIAO #Maker #FabAcademy

🚀 𝐃𝐚𝐲 𝟕𝟏: 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 - 𝐏𝐫𝐢𝐧𝐭𝐢𝐧𝐠 𝟏 𝐭𝐨 𝐍 𝐔𝐬𝐢𝐧𝐠 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐨𝐧! Today's focus was on a fundamental recursion problem that beautifully demonstrates the power of recursive decomposition and execution order - printing numbers from 1 to N using recursion. 𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 Given an integer n, print all numbers from 1 to n in ascending order using recursion. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦𝘴: Input: n = 3 → Output: 1 2 3 Input: n = 5 → Output: 1 2 3 4 5 💡 𝐓𝐡𝐞 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 The key insight is understanding when to make the recursive call and when to perform the printing. This problem demonstrates the crucial difference between head recursion and tail recursion. def printNos(n):   if n == 0:     # Base case - stop recursion     return   printNos(n - 1)   # Recursive call first   print(n, end=' ')  # Print after recursion returns 📌 Join me! Check out the course: https://lnkd.in/gy-A-djC #NationSkillUp #SkillUpWithGFG #Recursion #Algorithms #DataStructures #Programming #CodingInterview #ProblemSolving #ComputerScience GeeksforGeeks

The Department of Geospatial Science and Technology, Delhi Technological University (Formerly DCE), organized a two-hour hands-on workshop in collaboration with DesignTech Systems Pvt. Ltd., a leading provider of CAD 🧩, CAE 🧮, PLM ⚙️, and 3D Printing 🖨️ technologies, and an official MathWorks reseller for MATLAB & Simulink 💻. Participants — students and Ph.D. scholars from Geoinformatics and Geospatial Science 🌏 — explored: 🔹 Fundamentals of MATLAB and its Live Script interface 🧠 🔹 Data visualization and image processing applications 📊🛰️ 🔹 Machine Learning and classification using both code and no-code tools 🤖 🔹 Self-paced learning through MATLAB Onramp courses 🎓 The department extends heartfelt thanks to ARMAN ANSARI, Application Engineer, DesignTech Systems Pvt. Ltd., for delivering an insightful and engaging session 👏. The workshop empowered participants to leverage MATLAB for geospatial data analysis, visualization, and automation, bridging computational learning with real-world applications. 🔖 #MATLAB #Simulink #DesignTech #MathWorks #DGST #DTU #GeospatialScience #Geoinformatics #RemoteSensing #ImageProcessing #MachineLearning #DataVisualization #AI #Automation #Innovation #STEM #HigherEducation #Workshop #SpatialAnalytics #Research #DTUEvents #LearningByDoing #TechnologyIntegration

🔍4-DOF SCARA Robot — Adaptive Neural Network Control in MATLAB In this project, we designed, modeled, and controlled a 4-degree-of-freedom SCARA robot consisting of three revolute joints and one prismatic joint. The mechanical structure was first created in CAD software, and the assembled model was imported into MATLAB’s Multibody Simulation environment for dynamic analysis and control implementation. 🧠 Key Concept: Adaptive Neural Network Control To achieve precise motion under uncertain conditions, we used an Adaptive Neural Network (ANN) controller. This method continuously learns and compensates for system nonlinearities, ensuring smooth and accurate end-effector motion — even in the presence of sensor noise and external disturbances. 🤖 About SCARA Robots SCARA (Selective Compliance Assembly Robot Arm) robots are widely used in assembly lines, pick-and-place operations, 3D printing, and PCB manufacturing due to their high speed and repeatability in planar movements. ⚙️ Control Methodology 1️⃣ The robot’s CAD-based dynamic model is imported into MATLAB’s multibody simulation. 2️⃣ The ANN controller receives feedback from the robot’s sensors. 3️⃣ Adaptive learning adjusts control parameters in real time to minimize position error. 4️⃣ The system’s robustness is validated under sensor noise and disturbance inputs. 💻 Highlight ✅ CAD-to-Multibody simulation integration ✅ Adaptive Neural Network control for nonlinear compensation ✅ Robust performance under noisy sensor data and external disturbances ✅ Realistic industrial SCARA model with 4-DOF motion 📦 Explore how intelligent control bridges mechanical design and adaptive learning in robotics! Check out the full project on GitHub: https://lnkd.in/dWzV22K2 #SCARA #Robotics #MATLAB #AdaptiveControl #NeuralNetworks #RobotDesign #ControlSystems #Automation #AIinRobotics #Mechatronics

Harvard John A. Paulson School of Engineering and Applied Sciences researchers built a robot that thinks with rubber bands, using mechanical design — not electronics — to move, sense, and adapt.

Programming welding by hand: A few years ago, when I was still at Siemens, I remember Wandelbots visiting us and showcasing their Trace Pen: you could teach a robot by simply waving a pen. Do you guys remember, Marco and Christian??? They’ve since pivoted toward a robotics OS, but it’s interesting to see others still pursuing that same vision of intuitive, hand-guided programming. Glance Vision Technologies Srl is applying this idea to welding with DARDO. ✅ Faster workflows, guide the robot directly instead of coding ✅ Precise motion capture, ideal for complex welding tasks ✅ Real-time feedback, fine-tune paths in seconds Website: https://lnkd.in/dDH3afwy Can hand-guided programming help skilled coders achieve more in less time while keeping precision high? Seen at Piotr Stanecki 🌐 —- Weekly robotics and AI insights. Subscribe free: scalingdeep.tech

A leap forward in accessible 3D modeling: myumi.ch/E8d11 A11yShape gives blind and low-vision programmers four synchronized ways to explore and refine 3D models, extending new levels of independence in design. The new tool was developed by a multi-university research team, including UMSI’s Anhong Guo.