Advanced Robotics for Custom Engineering Solutions

4-DOF Dual Robotic Arm Pick & Place Simulation in MATLAB ➡ Coordinated dual-arm manipulation for cubes, spheres, and cylinders ➡ Analytical Inverse Kinematics for fast and accurate joint computation ➡ DH-parameter-based kinematic modeling ➡ Smooth trajectory planning with multi-stage interpolation ➡ Real-time 3D visualization with end-effector path tracing ➡ Automated simulation video generation ✨ Why this matters: In robotics, dual-arm coordination is crucial for industrial automation, collaborative robots, and intelligent material handling. This simulation demonstrates how accurate kinematics, workspace-safe IK, and trajectory planning enable two manipulators to work together seamlessly in a 3D environment. Beyond visualization, the project reinforces core concepts in joint coordination, kinematic modeling, and end-effector path planning, making it highly valuable for academic learning, prototyping, and portfolio building. 📊 Key Highlights: ✔ Dual 4-DOF manipulators working collaboratively ✔ Analytical IK for precise motion and stability ✔ Real-time 3D animation with labeled joints and links ✔ Smooth multi-stage trajectory interpolation ✔ Workspace-safe motion planning ✔ Supports multiple object shapes (cube, cylinder) 💡 Future Potential: This framework can be extended toward: ➡ Dynamic modeling & torque-based control ➡ Obstacle avoidance & path optimization ➡ ROS integration for real-world deployment ➡ AI-based trajectory planning and reinforcement learning 🔗 For students, engineers & robotics enthusiasts: This is a ready-to-use MATLAB project for learning, teaching, and prototyping advanced dual-arm robotic systems. 🔁 Repost to support robotics learning & engineering innovation! 🔁 #Robotics #MATLAB #Automation #4DOF #RobotArm #Kinematics #TrajectoryPlanning #InverseKinematics #ForwardKinematics #PickAndPlace #ControlSystems #Mechatronics #EngineeringProjects #Simulation #3DAnimation #STEM #RoboticsEngineering #TechInnovation

𝐀𝐒𝐂𝐄 𝐢𝟑𝐂𝐄 𝟐𝟎𝟐𝟓 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 13 𝐚𝐧𝐝 14 Two outstanding presentations by Xiayu Zhao, highlighting innovative research at the convergence of artificial intelligence, robotics, and construction site inspection. 𝐋𝐋𝐌-𝐃𝐫𝐢𝐯𝐞𝐧 𝐒𝐚𝐟𝐞 𝐑𝐨𝐛𝐨𝐭𝐢𝐜 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐢𝐭𝐞: 𝐀 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐢𝐧-𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐏𝐚𝐭𝐡 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 Xiayu showcased a brilliant presentation on a cutting-edge framework harnessing Large Language Models to enable robots to comprehend natural language instructions and navigate safely through construction environments. The structured prompt engineering approach—fusing Landmarks, Motion Constraints, and Terrains—yielded remarkable results with an 83.3% navigation success rate while consistently maintaining a 0.8m safety buffer from obstacles. The system demonstrated 90% accuracy interpreting complex spatial commands during extensive testing in a 20m × 40m simulated site featuring diverse terrain conditions. This represents a significant stride toward enhanced safety and autonomous operation in construction inspection scenarios. 𝐇𝐲𝐛𝐫𝐢𝐝 𝐔𝐀𝐕-𝐔𝐆𝐕 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐢𝐭𝐡 𝐈𝐧𝐭𝐞𝐫𝐜𝐡𝐚𝐧𝐠𝐞𝐚𝐛𝐥𝐞 𝐆𝐫𝐨𝐮𝐧𝐝 𝐌𝐨𝐝𝐮𝐥𝐞𝐬 𝐟𝐨𝐫 𝐌𝐮𝐥𝐭𝐢-𝐓𝐞𝐫𝐫𝐚𝐢𝐧 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐢𝐭𝐞𝐬 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 In a second compelling presentation, Xiayu introduced an ingenious modular hybrid system where a UAV transports and deploys three specialized UGV modules—wheeled units for flat surfaces, tracked configurations for rough terrain, and multi-legged systems for stairs and level changes—using a custom-designed undercarriage mechanism. Simulation testing revealed an exceptional 98.2% autonomous docking success rate, with minimal positional deviations of just ±2.8-3.8 cm across various terrain challenges. This clever integration of aerial capability with terrain-specific ground mobility represents a transformative advancement for thorough and risk-reduced construction site assessment. Congratulations to Xiayu for advancing the boundaries of intelligent navigation and inspection technologies in construction robotics. Watch for these pioneering studies in the upcoming ASCE i3CE 2025 Proceedings!

What if building a full robotics stack didn’t take a team of ten PhDs… or 2 years of development... or $5 million dollars? That’s exactly what the new Advantech Edge AI SDK is changing. For years, integrating ROS 2 + LiDAR + cameras + AI models has been a heavy lift: - Custom drivers - Sensor fusion pipelines (gPTP anyone?) - SLAM tuning - Model deployment - Endless debugging across disconnected systems It wasn’t just hard—it was resource prohibitive. Now? You can do it in a no-code / low-code environment. ✔ Pull ROS 2 packages directly from GitHub ✔ Drop in LiDAR drivers and camera inputs ✔ Run SLAM out of the box ✔ Load and train AI models for perception ✔ Deploy everything on industrial-grade edge hardware All in one unified stack. This is the real shift: We’re moving from building infrastructure → to building intelligence. Instead of spending months wiring systems together, you can now: Simulate Train Iterate Deploy …in a fraction of the time. My take: Systems built in 1 day with this stack can outperform legacy systems that took 10 years to develop. That’s not incremental progress—that’s a step change. LiDAR users—take note. Sensor fusion, SLAM, and perception are no longer bottlenecks. They’re becoming commoditized (read FREE) capabilities. The competitive edge is shifting to: 👉 How fast you can deploy 👉 How fast you can iterate 👉 How intelligently you use the data The barrier to entry for advanced robotics and physical AI just collapsed. And this is only the beginning. #Advantech #EdgeAI #ROS2 #Robotics #LiDAR #ComputerVision #AMR #AGV #PhysicalAI #Automation #AI #SLAM #IndustrialAI

German engineering just redefined robotic precision. Agile Robots has officially launched "Agile ONE"—a full-size humanoid built not just to walk, but to effectively work. It handles tiny screws, operates touchscreens, and navigates complex factory floors with human-like dexterity. This is the shift from "Visual AI" to "Physical AI." (✔️) Tactile Agency: It doesn't just rely on cameras. With advanced force sensors, it can "feel" the resistance of a screw or the pressure needed for a screen, adjusting its grip in real-time. (✔️) Real-World Grounding: Simulation creates a "reality gap." By training on real industrial data, this model learns from actual gravity, friction, and resistance, solving problems code alone cannot predict. (✔️) Holistic Integration: It is not a standalone showpiece. It is designed as a "worker" that plugs into existing production ecosystems to collaborate with human teams. We are moving from robots that simply see the world to robots that can truly handle it.

NASA SBIR Ignite Funding Opportunity: #Robotics Subtopic I finally went and downloaded the topic pre-release, and I am thrilled to share that there is an NASA - National Aeronautics and Space Administration #SBIR ignite robotics subtopic this year! https://lnkd.in/gq_rQveg Subtopic I04.01: Modular, scalable robotic subcomponents to unlock scalable robotic manufacturing & assembly in remote, challenging environments One of the key challenges in robotics today is the lack of standard, modular subcomponents that enable robotics to scale (actuators, motors, tools, end-effectors, beams/tubes for arms, wheels, etc). To reduce the cost of robotics for manufacturing and assembly, NASA needs basic robotic components with standardized mechanical and/or electrical interfaces that are qualified for use on orbit as well as lunar and planetary environments. The components should have the following characteristics: • Reconfigurable with non-proprietary, standardized interfaces • Allows the use of custom components designed by the end user • Designed for use in remote or challenging environments • Optimized for cost-effective mass production • Ability to be quickly scaled NASA is especially interested in solutions that balance readiness for eventual space deployment with near-term manufacturability and commercial viability. While full qualification is not required at this stage, a plan for space environment compatibility and scalability will strengthen the proposal (such as exposure to dust, vacuum (lubricants especially), radiation, UV, thermal, gravity, atomic oxygen, etc). Additionally, component approaches that demonstrate a clear path towards a complete robotic system-level solution are preferred. Considerations: • Solutions designed to be robotically assembled are encouraged. • Solutions at a scale appropriate for small-sat or orbital/surface asset aggregation applications are of particular interest. • Robot architecture is non-specific (inchworm/climbing robots, rover-based systems, free-fliers or other) • Adapting and qualifying existing robotic elements and systems for NASA applications is encouraged. Existing hardware could be upgraded to take the key elements of the design and add the components to survive challenging environments. • Examples of desired improvements in capabilities: • protection from dust and/or resilience to dust getting into moving components including dust repellant technologies and coatings • solutions capable of a range of torques • optimized lubricants for wide temperature ranges and minimal mass loss and outgassing in vacuum • solutions that use lower cost metals in order to reduce overall cost • tough, conductive thermal coatings and treatments that can resist erosion or surface damage

Manufacturing Automation – Adoption Automation is best TOLERATED when Custom! -- For brownfield applications, RIGHT SIZED automation is ALWAYS Contextualized, Unique and Custom; Disrupting outcomes by leveraging: - Operator Skill Sets - Existing Work Flows - Starts from the Problem, not the Solution Otherwise, it's a Science Experiment! Automation is best TOLERATED when Custom! -- "A better Way! Avoid general-purpose robots and use custom robotics. At the core, what we like about “robotics” is that we can use a motor, a driver, an encoder, and a guide system to create a continuous or intermittent axis of motion. Fully controllable as to speed and position with all components sized to the loads and accelerations that axis will experience throughout it’s stroke and at the required cycle time for a particular application. Integrate multiple axes and coordinate their motion path to meet the requirement, attach some tooling and we have a Robotic System, with each variable of speed and position within out control without having to consider load or stroke as those will have been pre-engineered for the specific application. Since we have control over the sizing and design of each of the elements for a particular application, there are no limitations on payload, stroke, speeds or any other variable and these can be integrated into an efficient and compact package as required and dictated by the application and no more! The flexibility and ease of programming considerations are specific to the application and the user interface doesn’t care what number or combination of rotary and linear axes our system is composed of. Using a palette of the now readily available, off the shelf combinations of catalog axes available from several suppliers, we can further combine any sequence of “smart” and “dumb” axes, (Servo, Stepper, Pneumatic and Hydraulic), to optimize our system for the application at hand. Applying the constraints of both Functional and Efficient, how likely is it that by using a General-Purpose Robot, disparate applications will meet both of these requirements?  Put another way, how likely is it that a Bin Picking application, a CNC Tending application, a Welding application and a Palletizing application can all be both Functional and Efficient and have the identical form factor … to be met by a General-Purpose Robot?  Not likely! Unique problems require unique solutions!" -- Is your Automation One Size Fits All or Custom Tailored? Your thoughts are appreciated and please SHARE this post if you think your connections will find it of interest. 👉 Comment, follow or connect to COLLABORATE on your automation for increased productivity. Adding value on the WHY, WHAT and HOW of Automation! What are you working on that I can help with? https://lnkd.in/eTF63aUt #industry40 #automation #productivity #robots

Vulcan Automation, a reputable Hungarian 🤖 system integrator and esteemed ABB Robotics cobot expert, is well-known for its tailored cobot solutions catering to the manufacturing, logistics, and printing sectors. Recently, this expert team was approached by a prominent German printing house grappling with a critical operational hurdle. The printing house, specializing in folded print materials for the cosmetics and pharmaceutical industries, faced the challenge of sustaining high-speed production levels without straining their workforce. Like many counterparts in the field, they encountered difficulty in sourcing skilled operators willing to engage in repetitive tasks such as arranging folded leaflets into trays and palletizing them. These repetitive responsibilities not only hamper efficiency but also impact the well-being and retention of operators. 🔹Application: Automated handling and palletizing of folded leaflets in a high-speed commercial printing environment. 🔹Challenge: Skilled labor shortages and difficulty staffing night and weekend shifts made it hard for cobot expert Vulcan Automation’s end customer to keep up with production demands. Operators were spending valuable time on repetitive manual tasks instead of optimizing machine performance. 🔹Solution: The cobot expert developed a flexible robotic cell powered by ABB’s GoFa cobot. The solution automates leaflet placement into trays and palletizing, using dual grippers and advanced part orientation handling, freeing operators for higher-value work and enabling scalable, round-the-clock production. 🔹Read more here: https://lnkd.in/egNuf3nf Ákos Dömötör #Cobots #collaborativeRobots #manufacturing #SystemIntegrator