TODAYS TECH

Fuzzy Logic Obstacle Avoidance Robot Simulation in Simulink

From fuzzy rules to intelligent navigation ✨

This project demonstrates a fully simulated differential drive mobile robot capable of autonomously avoiding obstacles and navigating toward a target using a Mamdani Fuzzy Logic Controller in MATLAB & Simulink.

🎯 Features:
✔️ Fuzzy Logic Controller (FIS)
✔️ Differential Drive Robot Model
✔️ Intelligent Obstacle Avoidance
✔️ Goal-Seeking Navigation
✔️ Real-Time Simulink Simulation
✔️ Custom Membership Functions
✔️ Rule-Based Decision Making
✔️ Robot Animation & Visualization

📊 Concepts Covered:
• Robot Kinematics
• Fuzzy Inference Systems
• Mobile Robotics
• Autonomous Navigation
• Path Planning
• Intelligent Control Systems

⚙️ Built entirely in MATLAB & Simulink

This is where robotics, control systems, and artificial intelligence come together to transform sensor data into intelligent motion 🤖🚀

💡 Want the complete project files?
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🔥 Save this post for your robotics projects and share it with fellow engineers!

#robotics #fuzzylogic #matlab #simulink #obstacleavoidance #pathplanning #mobilerobotics #controlsystems #artificialintelligence #engineering #automation #roboticsengineering #engineeringstudent #matlabsimulation #autonomousrobot #autonomoussystems #mechatronics #fyp #finalyearproject #engineeringprojects #stem #ai #navigation #simulation #research #robotcontrol #intelligentcontrol #matlabcode #robotnavigation #roboticsproject

3 days ago | [YT] | 55

TODAYS TECH

🤖 SCARA Robot Trajectory Tracking using PID Control in MATLAB/Simulink & Simscape

➡ Complete simulation of SCARA robotic manipulator
➡ Physics-based modeling using Simscape Multibody
➡ Forward & Inverse Kinematics implementation
➡ PID-based closed-loop control for precise motion
➡ Smooth trajectory generation and tracking
➡ Real-time 3D visualization and animation
➡ Integration of CAD model (SolidWorks) with simulation
➡ Modular and well-structured model for learning and scalability

✨ Why this matters:
Trajectory tracking in SCARA robots is critical for high-speed industrial tasks such as pick-and-place and assembly operations. Achieving precise motion requires tight integration between kinematic modeling and control design.
This project demonstrates how classical PID control, when properly tuned, can ensure stable and accurate tracking despite nonlinearities in robotic motion. By combining kinematics, dynamics (via Simscape), and control, the system reflects real-world robotic applications used in modern automation industries.

📊 Key Highlights:
✔ Complete kinematic modeling (FK & IK) for SCARA manipulator
✔ PID-based trajectory tracking for stable and accurate motion
✔ Physics-based simulation using Simscape Multibody
✔ Real-time 3D visualization of robotic movement
✔ CAD-integrated robotic model (SolidWorks)
✔ Clean and reusable Simulink architecture
✔ Includes report and presentation for academic/professional use

💡 Future Potential:
This project can be extended to:
➡ Advanced control (LQR, MPC, Adaptive, AI-based control)
➡ Obstacle avoidance and intelligent path planning
➡ Vision-based pick-and-place systems
➡ Real-time hardware implementation (Arduino/ROS)
➡ Digital twin and smart manufacturing applications

🔗 Download Complete project Now:
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🔁 Repost to support robotics innovation & engineering learning!

#Robotics #MATLAB #Simulink #Simscape #PIDControl #SCARA #RobotManipulators #ControlSystems #Automation #Mechatronics #EngineeringProjects #Simulation #STEM #EngineeringEducation

4 weeks ago | [YT] | 53

TODAYS TECH

🚁 Quadcopter Control Using LQR in MATLAB

➡ Nonlinear dynamic modeling of a quadcopter (6-DOF UAV system)
➡ State-space representation of translational and rotational dynamics
➡ Linearization around hover equilibrium for control design
➡ LQR optimal controller for position and attitude stabilization
➡ Full-state feedback control using gain matrix K
➡ 3D trajectory tracking with real-time simulation and visualization
➡ Stable flight performance for multiple reference paths (circle, helix, figure-8)

✨ Why this matters:
The quadcopter is a highly coupled, nonlinear, and inherently unstable system, meaning every motion in one axis affects others simultaneously.

To achieve stable flight, the controller must continuously compute optimal control inputs that balance tracking accuracy and control effort.

This project demonstrates how modern optimal control theory (LQR) can stabilize complex UAV dynamics efficiently compared to classical tuning-based methods.

It bridges the gap between:
➡ Nonlinear dynamics
➡ State-space modeling
➡ Optimal control design
➡ Real-time UAV behavior simulation

These concepts are widely used in autonomous drones, aerospace systems, robotics, and intelligent control applications.

📊 Key Highlights:
✔ Complete nonlinear quadcopter dynamics modeling
✔ State-space formulation (A, B matrices)
✔ LQR controller design using Riccati equation
✔ Optimal gain matrix computation (K)
✔ Smooth 3D trajectory tracking
✔ Real-time MATLAB animation and visualization
✔ Reference vs actual trajectory comparison

💡 Future Potential:
This framework can be extended toward:
➡ LQR vs PID vs MPC performance comparison
➡ Robust / adaptive LQR design under disturbances
➡ Wind disturbance and sensor noise modeling
➡ Reinforcement learning-based UAV control
➡ Real-time hardware implementation on drones
➡ ROS + Gazebo integration for robotics systems

🔗 For students, engineers & robotics enthusiasts:
This MATLAB simulation provides a practical foundation for understanding optimal control theory applied to real UAV systems, making it ideal for academic projects, research, and engineering portfolios.

🔁 Repost to support robotics research & engineering education!

📌Download Now: engrprogrammer-shop.fourthwall.com/products/quadco…

#Robotics #MATLAB #ControlSystems #UAV #Quadcopter #LQR #OptimalControl #AerospaceEngineering #EngineeringProjects #Simulation #StateSpace #DroneControl #Mechatronics #EngineeringEducation #DynamicSystems

1 month ago | [YT] | 103

TODAYS TECH

🚁 PID-Controlled Quadcopter Simulation

From equations to flight ✨
This project demonstrates a fully simulated quadcopter controlled using a cascaded PID controller for stable trajectory tracking in 3D space.

🎯 Features:
✔️ Nonlinear quadcopter dynamics
✔️ Cascaded PID (position + attitude control)
✔️ Smooth trajectory tracking
✔️ Real-time 3D animation
✔️ Auto-generated simulation video

📊 Trajectories tested:
• Circle
• Figure-8
• Helix
• Mission: Takeoff → Move → Land

⚙️ Built entirely in MATLAB

This is how control theory comes to life — turning math into motion 🚀

💡 Want the full code & project files?
engrprogrammer-shop.fourthwall.com/products/quadco…

#quadcopter #pidcontrol #controlsystems #matlab #robotics #uav #engineeringstudent #simulation #automation #mechatronics #roboticsengineering #fyp #stem #engineeringprojects

1 month ago | [YT] | 110

TODAYS TECH

I’ve been consistently creating engineering content for students and learners — tutorials, projects, and resources — all shared to help others grow.

A lot of time, effort, and energy goes into keeping this going and improving it further.

If my content has ever helped you in your journey, and you’d like to support it so I can continue creating more, you can do so here ☕

👉 buymeacoffee.com/engrprogrammer

Even small support helps me keep this work alive and growing.

Thank you to everyone who has been part of this journey ❤️

1 month ago (edited) | [YT] | 7

TODAYS TECH

Triple Inverted Pendulum Control with LQR & UKF in MATLAB

How do engineers stabilize one of the most unstable nonlinear systems?

This project demonstrates a triple inverted pendulum on a cart, controlled using optimal control and advanced state estimation techniques.

The simulation shows how three highly unstable pendulums can be stabilized simultaneously using LQR, while the Unscented Kalman Filter (UKF) accurately estimates system states under noisy conditions.

Built entirely in MATLAB, this project combines nonlinear dynamics, numerical linearization, optimal control, and probabilistic estimation to achieve stable real-time behavior.

⚙️ Project Highlights:

✅ Nonlinear dynamic modeling of triple pendulum system
✅ State-space formulation via numerical linearization
✅ LQR optimal control for multi-link stabilization
✅ Unscented Kalman Filter (UKF) for state estimation
✅ Robust performance under process & measurement noise
✅ Real-time simulation with true vs estimated comparison
✅ Smooth stabilization from unstable initial conditions
✅ High-quality MATLAB animation and visualization

From extreme instability to precise balance, this simulation demonstrates how modern control and estimation techniques handle complex nonlinear systems used in robotics, aerospace, and autonomous platforms.

📊 Perfect for:

• Control Systems students
• Robotics & Automation engineers
• MATLAB learners
• Mechatronics researchers
• Final year engineering projects

💡 A system that is nearly impossible to control manually… can be stabilized using optimal control and intelligent estimation.

🔥 Save this post if you’re into robotics and control systems!

👇 Dwonload Complete Project Now
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#MATLAB #ControlSystems #LQR #UKF #KalmanFilter #RoboticsEngineering #Automation #EngineeringSimulation #Mechatronics #ControlEngineering #NonlinearSystems #STEM #EngineeringProjects #TechReels

1 month ago | [YT] | 139

TODAYS TECH

ROS2 3-DOF Robotic Arm Manipulation using MoveIt & Inverse Kinematics

How do robotic arms move precisely from one position to another in real-world automation systems?

This project demonstrates a 3-DOF robotic arm simulation using ROS 2 MoveIt framework, where motion is controlled through inverse kinematics (IK) to achieve accurate end-effector positioning in 3D space.

The system computes joint angles in real time to move the robotic arm smoothly and accurately toward target positions, showing how industrial robots perform pick-and-place and manipulation tasks.

Built using ROS 2 and MoveIt, this project combines kinematics, motion planning, and robotic control into a complete simulation pipeline.

⚙️ Project Highlights:

✅ 3-DOF robotic arm simulation in ROS 2
✅ Inverse Kinematics (IK) for joint angle calculation
✅ MoveIt motion planning framework integration
✅ Smooth trajectory generation for end-effector control
✅ Real-time robot arm visualization in simulation
✅ Workspace-based target positioning
✅ Accurate and stable robotic motion control

📊 Perfect For:

🎓 Robotics & Mechatronics students
👨‍💻 ROS 2 learners
🔬 Manipulation & control system projects
🤖 Industrial automation enthusiasts
📹 Engineering portfolios & demonstrations

💡 From mathematical equations to real robotic motion — this project shows how robots precisely control movement in 3D space using inverse kinematics.

🔥 Save this post if you're interested in robotic manipulation and motion planning!

👇Download Project Files
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#ROS2 #MoveIt #Robotics #InverseKinematics #RoboticArm #Automation #Mechatronics #EngineeringProjects #RobotControl #MotionPlanning #STEM #AI #Engineering #RobotArm #engrprogrammer

1 month ago | [YT] | 32

TODAYS TECH

Wheeled Inverted Pendulum (WIP) Control using Cascaded PID in MATLAB

How do robots balance on just two wheels without falling?

This project demonstrates the Wheeled Inverted Pendulum (WIP) — a fundamental robotics system used in self-balancing robots like Segways.

The simulation shows how an inherently unstable system can be stabilized using a cascaded PID control strategy, where position and balance are controlled simultaneously.

Built entirely in MATLAB, the project integrates nonlinear dynamics, real-time control, and smooth animation to visualize how robots maintain balance under dynamic conditions.

⚙️ Project Highlights:

✅ Nonlinear dynamic modeling of WIP system
✅ Cascaded PID control (Position + Attitude)
✅ Real-time self-balancing behavior
✅ Stable trajectory tracking
✅ High-quality MATLAB animation
✅ Automatic plots (Position, Angle, Torque)
✅ MP4 video export for presentations

From instability to stability, this project shows how control systems enable robots to stand, move, and adapt in real time.

📊 Perfect for:

• Control Systems students
• Robotics & Automation engineers
• MATLAB learners
• Mechatronics researchers
• Final Year Projects (FYP)

💡 A system that naturally falls… can be perfectly balanced with the right control design.

🔥 Save this post if you’re into robotics and control systems!

👇 Downlaod Complete Project Now
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#WheeledInvertedPendulum #SelfBalancingRobot #MATLAB #ControlSystems #PIDControl #RoboticsEngineering #Automation #EngineeringSimulation #EngineeringStudent #Mechatronics #ControlEngineering #EngineeringReels #TechReels #STEM #MechanicalEngineering

1 month ago | [YT] | 46

TODAYS TECH

One Place for ALL Engineering & Robotics Projects

Showcasing a collection of my advanced MATLAB & robotics projects — built with real concepts, real math, and real applications. 💡

🔧 Projects included in this showcase:
✔️ Robotic Arms (2–6 DOF, Trajectory Tracking)
✔️ Mobile Robots & Autonomous Navigation
✔️ Self-Balancing & Control Systems
✔️ Path Planning & AI-Based Optimization
✔️ Kinematics & Dynamic Modeling

🔥 And that’s not all…

💼 I offer ALL TYPES of projects, including:
• ✈️ Drone / UAV simulations
• 🤖 Robot arms & manipulators
• 🚗 Mobile robots (line following, SLAM, navigation)
• ⚙️ Simulink & Simscape models
• 📊 Pure MATLAB simulations
• 🧠 AI, ANFIS, Fuzzy, Optimization-based systems

💻 Every project comes with:
✔️ Clean MATLAB / Simulink code
✔️ Proper mathematical modeling
✔️ Documentation + explanation
✔️ Ready-to-use for FYPs & learning

🎯 Perfect for:
Students | Final Year Projects | Researchers | Engineers

📦 Want access to these premium projects?

📩 Download Projects now
buymeacoffee.com/engrprogrammer/extras

🔥 Turn your ideas into real engineering systems!

#robotics #matlab #simulink #simscape #engineeringprojects #drone #uav #robotarm #mobilerobot #automation #controlsystems #fyp #finalyearproject #mechatronics #ai #stem #programming #tech

1 month ago (edited) | [YT] | 35

TODAYS TECH

🎉 25K INSTAGRAM CELEBRATION SALE! – 25% OFF ON ALL PROJECTS 🎉

We just hit 25,000 followers on Instagram 🎊 (@engrprogrammer2494)
Thank you for all the support — this milestone means a lot! 🙌

To celebrate, I’m offering a FLAT 25% DISCOUNT on all my engineering and robotics projects 🤖

💥 Whether you're working on:
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• MATLAB & Simulink simulations
• Control systems
• Mechatronics designs
• Final year engineering projects

👉 This is the best time to grab premium projects at discounted prices!

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📱 Follow & stay connected:
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🔥 Thank you for being part of this journey — more advanced projects coming soon!

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2 months ago (edited) | [YT] | 9