🚀 Scientists 3D-Print Materials That Stop Vibrations Cold A breakthrough from the University of Michigan and the Air Force Research Laboratory (AFRL) could redefine how we build the world around us. Researchers have developed 3D-printed mechanical metamaterials that can block or reduce vibrations — not through chemistry, but through geometry. These tubular lattice structures, called kagome tubes, are precision-printed with patterns that absorb and redirect vibration energy. The innovation could transform aerospace, construction, automotive, and defense industries, where vibration control means safety, performance, and longer system life. 💡 “We can actually make these things,” said James McInerney of AFRL, emphasizing that the real leap is from theory to fabrication. The study, published in Physical Review Applied, reveals how controlling shape rather than substance can produce extraordinary new materials. Supported by DARPA, the Office of Naval Research, and the National Academies, this research opens pathways for smart, safer, and lighter structural designs. 🧩 Think of it as “quiet engineering” — a future where materials themselves cancel noise and vibration before you even hear it. 🔗 Featured by SV3DPrinterAI.com — where innovation meets imagination. <iframe src="https://lnkd.in/gbXd3Aa3" height="567" width="504" frameborder="0" allowfullscreen="" title="Embedded post"></iframe> #3DPrinting #Metamaterials #Innovation #Engineering #Aerospace #Manufacturing #UniversityofMichigan #AFRL #VibrationControl #SV3DPrinterAI

Artificial Intelligence is quietly transforming how we design, simulate, and validate mechanical systems. From predictive modeling to generative design, it’s not just about automating tasks — it’s about amplifying human creativity and engineering intelligence. 💡 Great read on how AI is reshaping mechanical design and what every engineer should know: https://lnkd.in/ggMF8tk3 #AIinEngineering #MechanicalDesign #Innovation #DigitalTransformation #CAD #GenerativeDesign #EngineeringFuture

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

https://lnkd.in/dwicjdgV https://lnkd.in/dNfBf5U9 🎨 What Is Tangram Geometry? A tangram is an ancient Chinese puzzle made of seven flat shapes (called "tans") — typically 5 triangles, 1 square, and 1 parallelogram — that can be arranged to form countless figures, from animals to letters to robots. While it may seem like play, tangram puzzles teach children geometry through doing — manipulating shapes, analyzing patterns, and mentally rotating components. This is hands-on math at its finest. 🔍 Tangrams & Real-World Thinking: The Connection The mental processes used in tangram play are the same skills engineers, architects, coders, and problem-solvers use every day: 1. Spatial Reasoning = Engineering Thinking Children learn to: Visualize how parts make a whole Rotate and flip shapes mentally Predict outcomes of movement and alignment These are the foundations of mechanical design, robotics assembly, and 3D printing logic. 2. Pattern Recognition = Data Science Mindset Solving tangram puzzles improves a child’s ability to : See patterns within chaos Find symmetry and balance Break down complex visuals into simple units This mirrors how professionals make sense of large datasets and systems.

Pleased to share a new milestone in my research journey! Our paper titled “Design and Simulation of a Robotic Cart with Integrated Storage Unit for Capsicum Harvesting: Motion Analysis and DEM Evaluation of Storage Tray Dynamics” has been published in Cogent Engineering (Taylor & Francis Group). 👉 DOI: https://lnkd.in/gnx_Dei8 This marks my first major step transitioning from Artificial Intelligence to Robotics and Simulation. 🔍 About the study The work focuses on designing a compact robotic cart equipped with an ergonomic storage tray, optimized for confined greenhouse pathways and robotic arm integration. Key objectives include: 1. Development of a robotic cart geometry tailored for greenhouse environments. 2. Structural and motion analysis of the tray to ensure handling ease and stability. 3. Discrete Element Method (DEM) simulations to evaluate mechanical impacts on capsicums during deposition and transport. 🌱 Why this study matters Existing research largely emphasizes perception and manipulation in robotic harvesting but overlooks post-detachment processes such as safe handling and storage. Our study bridges this gap by conducting physics-based simulations to analyze how motion and interaction forces affect the harvested produce. This contributes to improving produce integrity, reducing bruising, and enhancing the practical viability of robotic harvesting systems. 💻 SolidWorks Motion was used for motion analysis, and EDEM software was employed for DEM-based stress and interaction evaluations. 🙏  Acknowledgments I sincerely thank my Ph.D. supervisor Rajendra Machavaram for his continuous guidance and mentorship. Gratitude also to all other collaborators and supporters whose contributions made this work possible. 📽️ A brief video showcasing the key simulations and paper highlights is attached below. 🤝 Researchers working on AI and Robotics for agricultural applications—I’d be glad to explore collaborations! #ResearchPublication #Robotics #Agritech #AgriculturalRobotics #Simulation #MotionAnalysis #DEMAnalysis #GreenhouseAutomation #PostHarvestTechnology #SustainableFarming #CogentEngineering #TaylorAndFrancis

📣 Next week at ICCV in Hawaii, we’ll be presenting our paper 𝗔𝗹𝗶𝗴𝗻𝗶𝗻𝗴 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗗𝗲𝘀𝗶𝗴𝗻 𝗜𝗻𝘁𝗲𝗻𝘁 𝗶𝗻 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗿𝗶𝗰 𝗖𝗔𝗗. Large language models have shown why alignment matters: tuning models to reflect human goals and preferences, not just data patterns. This work brings that same idea to design. We call it 𝘥𝘦𝘴𝘪𝘨𝘯 𝘢𝘭𝘪𝘨𝘯𝘮𝘦𝘯𝘵, teaching AI to better capture design intent. In the paper, we demonstrate this through engineering sketches, where the model learns to generate constraints that align with expert design choices, guided by verifiable rewards that measure how well its outputs match real design behavior. This helps the system learn from feedback that can be checked and quantified, rather than relying only on example data. Beyond sketches, design alignment could inform how AI proposes parametric edits, generates 3D geometry, plans assemblies, or checks manufacturability, grounding every suggestion in human intent. It’s a step from “looks right” to “behaves as intended,” essential for editable, production-ready CAD. This continues Autodesk AI Lab’s trajectory from datasets and encoders to generative models, and now intent-aligned AI for real design workflows. Thanks to Evan Casey, Tianyu Zhang, Shu Ishida, Will McCarthy, John Thompson, Amir Khasahmadi, Joe Lambourne, and Pradeep K J. for their collaboration. If you’re at ICCV, come by during Poster Session 2 (Exhibit Hall I, Tuesday October 21, 15:00–17:00) to chat with me and Evan about design alignment and neural CAD. 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/g9Xy-Jym 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: https://lnkd.in/gaN8CSm2 𝗕𝗹𝗼𝗴: https://lnkd.in/gAF9kAFH #ICCV #GenerativeAI #CAD #Autodesk #AutodeskResearch #DesignAlignment #NeuralCAD #DesignIntent #MachineLearning #AIML

A recent publication in Nature Communications introduces a novel approach to mechanical metamaterials by leveraging disordered architectures inspired by natural materials. This strategy enables static mechanical cloaking and camouflage, allowing materials to conceal internal defects or mimic the mechanical response of different shapes. The method utilizes probabilistic growth rules to assemble structures with variable stiffness, achieving robust performance under diverse conditions. Experimental validation with 3D-printed prototypes confirms the effectiveness of this approach, with potential applications in protective systems, robotics, biomedical devices, and advanced haptic interfaces for virtual and augmented reality.

🔍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

🚀 Exciting news! Our latest work, just published in Nature Communications Materials, presents a new metamaterial that can stretch, compress, and shear without lateral distortion — even under very large deformations. Thanks to its helical lattice design, it achieves: ✅ Dimensional stability under extreme loads ✅ Enhanced fatigue resistance ✅ Tailorable stiffness for multifunctional applications From adaptive actuators to morphing structures and energy-absorbing systems, this research could open new doors for engineering applications across aerospace, robotics, and beyond. Proud to share this achievement with my graduate students Guglielmo Cimolai, Qing Qin, and Pinelopi Mageira. 👉 Read the full article here: https://lnkd.in/eS4VEWV2 #Metamaterials #Engineering #Innovation #Aerospace #Robotics

🔁 Reposting with pride: our latest paper in Nature Communications Materials introduces a helical metamaterial that can stretch, compress, and shear without lateral distortion — even under very large deformations! 🚀 This breakthrough showcases exactly the kind of hands-on, high-impact research our MSc students engage in. From designing advanced metamaterials to exploring aerospace, robotics, and energy applications, our course equips graduates with the skills to push the boundaries of engineering innovation. If you’re passionate about next-generation structures, smart materials, and real-world applications, our MSc in Advanced Lightweight and Composite Structures at Cranfield University might be the perfect fit. 👉 Learn more: https://lnkd.in/eJ8Udae4 👉 Read the article: https://lnkd.in/eS4VEWV2 #Metamaterials #MSc #EngineeringEducation #Innovation #Aerospace #Robotics