🚗🔬 Understanding Human Kinematics in Seating Systems through Motion Capture How do engineers ensure that vehicle seats are not only structurally strong but also provide ergonomic comfort and safety during real-world usage? The answer lies in motion capture–based kinematic analysis, as shown in the image below. 📌 What’s Happening Here? 1) 3D Motion Capture Cameras record the movement of markers placed on the subject. 2) Relative coordinate systems are established for the head rest, seat back, and seat pan to measure occupant movement relative to seat components. 3) Key biomechanical parameters such as: a) Head rotation angle b) Torso rotation angle c) Pelvic orientation are tracked and analyzed. 🎯 Why is this Important? 1) Crashworthiness Studies – Evaluating how the body reacts under impact. 2) Seat Comfort & Ergonomics – Validating posture and pressure points over long drives. 3) Safety Standards Compliance – FMVSS 207/210, ECE R17, and others demand seat and restraint validation. 4) Virtual-Physical Correlation – Combining CAE simulation with motion capture experiments provides highly accurate results. 🔧 How CAE Adds Value By integrating this data with FEA and Multibody Dynamics Simulation, engineers can predict occupant kinematics under different crash and comfort scenarios — reducing prototype costs and development time. 👉 At ELENO, we specialize in CAE for seating systems, bridging the gap between ergonomics, comfort, and safety validation through advanced simulation.  Would you like to see a demo of how seating system motion capture integrates with CAE crash analysis? Comment below or DM us to know more.

🚀 Project Highlight: 3D Photorealistic Modeling and Visualization of Industrial Assembly Line using Blender I’m excited to share my latest project — a 3D photorealistic visualization of an industrial assembly line designed and rendered using Blender software. This project focuses on recreating a realistic industrial environment, complete with running Automated Guided Vehicles (AGVs), machinery, and production setups. The goal was to demonstrate how digital visualization can capture real-world manufacturing workflows with accuracy, lighting precision, and environmental realism. #3DVisualization #Blender3D #IndustrialDesign #VFX #Rendering #DigitalTwin #AGV #Automation #Photorealism #VirtualProduction

At Tempo, we don't accept the status quo in robotics simulation. Neither should you. TempoCamera renders color, label, and depth images using Unreal Engine's scene capture component. But unlike other open-source implementations, which use two or three render passes to capture these three channels, TempoCamera does it in one, saving time and memory every frame. The key to enabling this is a clever way of packing it all into an eight-byte pixel buffer. The first three bytes are RGB. The fourth is the label. Simple enough. In the remaining four, we need to store the floating point depth. But wait. There is no available pixel buffer format with four uint8s and one float32! So instead, we "reinterpret cast" the depth to a uint32 in the post-process material and then back to a float32 after reading it from the GPU. Pretty cool, right? Are you reaching the limits of your simulation strategy? Tempo may be the edge you need to level up.

Niryo just announced a great new addition to their NiryoStudio software: 3D simulation! Program and test your robotic applications in a realistic 3D environment integrated with NiryoStudio. Ideal for remote learning, design, and prototyping. Then deploy your programs on the actual robot. Here's more about Niryo and their Ned2 collaborative robot and ecosystem: https://www.lli.com/niryo

I recently stumbled upon Quaternions while running some basic simulations in RViz2, and it completely changed the way I think about 3D rotations. Most of us start with yaw, pitch, and roll — easy to picture. Or maybe even rotation matrices, which feel neat and mathematical. But they both have their pitfalls: -Euler angles can run into gimbal lock — in certain orientations, two axes line up and you suddenly lose a degree of freedom. -Rotation matrices are great for applying transformations, but they fall short when you need to smoothly move between two orientations. Quaternions handle rotations differently. They extend the idea of rotation from complex numbers in 2D into a higher-dimensional form for 3D. With just four numbers, they avoid gimbal lock and make interpolation smooth and stable. That’s why they’ve become the backbone of robotics, graphics, and aerospace applications. If you want an intuitive feel for how they work, this demo by Ben Eater and Grant Sanderson is brilliant: eater.net/quaternions . It’s amazing how something that sounds so abstract can turn out to be one of the most practical tools in 3D systems. #Robotics #Engineering #Mathematics #Technology

🤖 3D Model | Robotic Arm – Joint Motion Simulation Designed a 3D robotic arm in Onshape to analyze 2-DOF joint motion using revolute mates. This model demonstrates precise linkage movement and kinematic behavior, fundamental to robotic automation systems. 💡 Focused on: Assembly & motion simulation Revolute joint configuration Linkage and motion analysis #Onshape #Robotics #MechanicalEngineering #3DModel #Automation #Kinematics #CADDesign

What happens when you mix Mecanum wheels, a pen, and an ESP32? You get a rail-free pen plotter that glides, slides sideways, and rotates across any flat surface - no rails, no steering, no boundaries. This was a fun personal project where I explored real-time motion control, ESP32 multitasking, 3D modeling, and the unique kinematics of mecanum wheels.  I learned a lot and ended up with a mobile robot that can draw on anything from a desk to a poster-sized sheet. Highlights: * Custom 3D-printed chassis and pen lift: Spring-loaded, servo-actuated pen with a lightweight modular frame * Real-time motion control: Velocity + position control loops using FreeRTOS across both ESP32 cores * Encoder feedback + PID tuning for precise wheel speed tracking * Kinematic model translates global (vx, vy, ω) into 4 wheel speeds * Draws without rails—the whole surface is the canvas If you're into robotics, motion control, or just like watching robots draw, you can read the full breakdown here:
👉 https://lnkd.in/d-t2yzjv

Humanoid Robots are rising — so here’s my 16-DOF prototype! 🤖 This is my design of a fully 3D-printable humanoid robot, entirely modeled and simulated in Autodesk Fusion. It’s powered by servo motors , engineered to achieve symmetrical walking and balanced motion through precise leg mechanics and center of mass optimization. ✅ 16 degrees of freedom for dynamic and stable movement ✅ Kinematics and center of mass (CoM) analysis for balanced locomotion ✅ Fully 3D-printable structure ✅ Compact torso to house battery and control electronics ⚙️ Designed to explore bipedal locomotion, kinematic control, and balance optimization through Zero Moment Point (ZMP) analysis – bridging accessibility and robotics innovation. 🔧 Next step: full assembly! #engineering #robot #HumanoidRobot #AI #technology #MechanicalDesign #CADDesign

What started as a control systems challenge evolved into a full-fledged vehicle dynamics and perception project - integrating sensor fusion, feedback control, and realistic simulation environments. I recently wrapped up my Adaptive Cruise Control (ACC) project, designed and validated entirely in MATLAB R2024b and Simulink, where an ego vehicle autonomously follows a lead vehicle under varying conditions. 🔧 Technical Highlights 1)Sensor Fusion Algorithm: Combined radar and lidar inputs using Kalman-based state estimation for relative distance and velocity tracking. 2)PID Control Architecture: Closed-loop control for throttle and braking, with saturation limits and dynamic gain tuning to ensure comfort and safety. 3)Dynamic Simulation Framework: Implemented ego and lead vehicle kinematics, non-linear acceleration limits, and response to sudden braking scenarios. 4)Custom MATLAB Visualization: Real-time 2D animation and plotted datasets for position, velocity, and inter-vehicle gap analysis. This project deepened my understanding of model-based design (MBD), closed-loop system validation, and multi-sensor data fusion, skills that lie at the heart of advanced driver assistance systems (ADAS). I’d be happy to connect with others working on autonomous control, vehicle simulation, or system development - collaboration always accelerates innovation. #MATLAB #Simulink #VehicleDynamics #ControlSystems #SensorFusion #ADAS #Innovation #Automotive #MechanicalEngineering

🤖 Excited to Share My Latest Robotics Project! 3-DOF Robotic Arm Simulation using ROS 2 I recently completed a 3-DOF robotic arm simulation that gave me hands-on experience across the full robotics simulation pipeline — from modeling and control to motion planning and visualization. This project helped me understand how individual components of a robotic system come together and operate seamlessly in ROS 2. 🚀 Key Highlights 🔹 URDF Modeling – Built a complete URDF model describing the robot’s links, joints, and kinematic structure. 🔹 Gazebo Simulation – Simulated the robot in realistic physics-based environments, testing joint dynamics and environmental interaction. 🔹 RViz Visualization – Used RViz for real-time 3D visualization, enabling easy inspection of frames, transformations, and configurations. 🔹 ROS 2 Control Integration – Configured joint controllers for precise and stable motion control. 🔹 TF2 Transform Handling – Managed coordinate frame transformations between links for accurate spatial awareness. 🔹 MoveIt 2 Motion Planning – Implemented motion planning to execute smooth, collision-free trajectories automatically. 🔹 ROS 2 Launch System – Designed custom launch files to bring up the entire simulation stack with a single command. 🔗 You can check out the complete project here: 👉https://lnkd.in/dq2EXayZ A special thanks to Antonio Brandi for his ROS course and guidance, which helped me build a strong foundation for this project. #Robotics #ROS2 #MoveIt2 #Gazebo #RViz #Manipulator #RobotSimulation