Uploaded July 2026 | Updated September 2026, 11 hours ago
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π€ Advanced MATLAB Robot Navigation Simulation
Welcome to this complete demonstration of an Autonomous Mobile Robot Navigation System developed in MATLAB.
In this project, the robot intelligently navigates through a complex environment using advanced robotics algorithms, while avoiding obstacles and generating a live SLAM occupancy map.
This simulation demonstrates modern autonomous navigation techniques commonly used in robotics research, autonomous vehicles, warehouse robots, and mobile robot applications.
π Project Features
β Theta* Path Planning
β Artificial Potential Field (APF)
β Real-Time LIDAR Sensor Simulation
β Live SLAM Occupancy Grid Mapping
β Autonomous Robot Navigation
β Automatic Obstacle Avoidance
β Interactive Start & Goal Selection
β Path Smoothing
β Dynamic Path Re-planning
β Collision-Free Motion
β Multiple Obstacle Shapes
β Professional MATLAB Animation
β Live Navigation Statistics
β Zoomed Robot View
β Real-Time Performance Plots
π Simulation Includes
β Robot Navigation View
β Zoomed Robot Tracking
β Live SLAM Mapping
β Heading Plot
β Speed Plot
β Distance-to-Goal Plot
β Intelligent Motion Planning
π» Technologies Used
MATLAB
Robotics
Theta* Algorithm
Artificial Potential Field (APF)
LIDAR Simulation
SLAM
Occupancy Grid Mapping
Mobile Robotics
Autonomous Navigation
π Perfect For
β’ Robotics Students
β’ MATLAB Learners
β’ Final Year Projects (FYP)
β’ Mechatronics Engineers
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β’ Master's & PhD Students
β’ Automation Engineers
β’ AI & Robotics Enthusiasts
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Download Complete Project Now:
engrprogrammer-shop.fourthwall.com/products/advanced-mobile-robot-navigation-simulation-theta-apf-pure-pursuit-lidar-slam
π€ Advanced MATLAB Robot Navigation Simulation
Welcome to this complete demonstration of an Autonomous Mobile Robot Navigation System developed in MATLAB.
In this project, the robot intelligently navigates through a complex environment using advanced robotics algorithms, while avoiding obstacles and generating a live SLAM occupancy map.
This simulation demonstrates modern autonomous navigation techniques commonly used in robotics research, autonomous vehicles, warehouse robots, and mobile robot applications.
π Project Features
β Theta* Path Planning
β Artificial Potential Field (APF)
β Real-Time LIDAR Sensor Simulation
β Live SLAM Occupancy Grid Mapping
β Autonomous Robot Navigation
β Automatic Obstacle Avoidance
β Interactive Start & Goal Selection
β Path Smoothing
β Dynamic Path Re-planning
β Collision-Free Motion
β Multiple Obstacle Shapes
β Professional MATLAB Animation
β Live Navigation Statistics
β Zoomed Robot View
β Real-Time Performance Plots
π Simulation Includes
β Robot Navigation View
β Zoomed Robot Tracking
β Live SLAM Mapping
β Heading Plot
β Speed Plot
β Distance-to-Goal Plot
β Intelligent Motion Planning
π» Technologies Used
MATLAB
Robotics
Theta* Algorithm
Artificial Potential Field (APF)
LIDAR Simulation
SLAM
Occupancy Grid Mapping
Mobile Robotics
Autonomous Navigation
π Perfect For
β’ Robotics Students
β’ MATLAB Learners
β’ Final Year Projects (FYP)
β’ Mechatronics Engineers
β’ Robotics Researchers
β’ Master's & PhD Students
β’ Automation Engineers
β’ AI & Robotics Enthusiasts
π If You Enjoy This Video
β Like π
β Comment π¬
β Share π€
β Subscribe π for more Robotics, MATLAB, AI, and Engineering projects.
MATLAB, MATLAB Robotics, Robot Navigation, Autonomous Robot, Mobile Robot, Theta Star, Theta*, SLAM, LIDAR, Path Planning, Obstacle Avoidance, MATLAB Simulation, Robotics Project, Mobile Robotics, Artificial Potential Field, APF, Occupancy Grid Mapping, Autonomous Navigation, Robotics Engineering, Engineering Projects, MATLAB Animation, AI Robotics, Final Year Project, Mechatronics, Research Project
#MATLAB #Robotics #RobotNavigation #SLAM #LIDAR #PathPlanning #ThetaStar #ObstacleAvoidance #MobileRobot #AutonomousRobot #Engineering #Mechatronics #Simulation #AI #Research

![MN5621 Computer Aided Engineering 1 Resit | Synthesis and Dynamic Simulation of a six-bar linkage
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βWelcome to todays tech.. this video is about the solution of MN5621 Computer Aided Engineering 1 Resit | Synthesis and Dynamic Simulation of a six-bar linkage
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πQuestion 1 (55 points):
Given a robot mechanism with the dimensions as shown in separately the attached
figures, answer the following questions 1-7.
Given ΞΈ2 (see it in the figure), Ο2 = 25 rad/sec, and Ξ±2 = 15 rad/sec2, and taking gravity
acceleration as 9.81m/sec2, answer the following questions 1-7.
The mass density is Ο=100000kg/m3, and the link thickness T is 0.005 m. There is an
external force of Fp acts on the link, applied at point p and lp [m].
1) Find the values of ΞΈ3, ΞΈ4, Ο3, Ο4, Ξ±3, and Ξ±4.
2) Find the accelerations of AA (m/sec2), ABA (m/sec2), AB (m/sec2), AC (m/sec2).
3) Find the centre of mass values lg2, lg3, lg4 of links 2, 3, and 4.
4) Find the mass moment of inertia (kgΒ·m2) about the centre of mass of links 2, 3,
and 4.
5) Find the values of Ag2, Ag3, Ag4 (at the centre of mass) of links 2, 3, and 4.
6) Find the force and moment equations for dynamic force analysis on links 2, 3,
and 4, and cast the equations in the matrix form, and find the values for F12 (F12x
and F12y), F32 (F32x and F32y), F43 (F43x and F43y), and F14 (F14x and F14y), at the joints
and the driving torque Ο2 [NΒ·m] needed to maintain motion with the given
angular velocity, and acceleration, Ο2 = 25 rad/sec and Ξ±2 =15 rad/sec2,
respectively, for this instantaneous position of the link (please use MATLAB to
calculate the derived matrix, add all the codes to the assignment, and upload
them on Wiseflow).
7) Find the position of Point P measured with respect to O2.
πQuestion 2 (25 points):
For the robot mechanism described in Question 1, simulate it for the case in which the
motion begins with a given crank angle ΞΈ2[rad] (find it in the figure), a given crank
angular velocity Ο2 = 0 rad/s and a given angular acceleration Ξ±2 = 0.45 rad/s2 in link 2.
The matrix equation (matrix form in Question 1) is solved using a MATLAB User
defined function that will take all of the integrator outputs as input arguments (Figure
1).
1) Plot the values of ΞΈ2, ΞΈ3, and ΞΈ4 for the first 2 seconds.
2) Plot the values of Ο2, Ο3, and Ο4 for the first 2 seconds.
3) Plot the values of Ξ±2, Ξ±3, and Ξ±4 for the first 2 seconds.
4) Plot the values of AA AB, and AC at points A, B, and C for the first 2 seconds.
5) Plot the values of Ag2 Ag3, and Ag4 (at the centre of mass) of links 2, 3, and 4 for
the first 2 seconds.
6) Plot F12 (F12x and F12y), F32 (F32x and F32y), F43 (F43x and F43y), and F14 (F14x and F14y),
at the joints and the driving torque Ο2 needed to maintain motion for the first 2
seconds.
7) Plot the coupler curve (plot x positions versus y positions) at the point of the
centre of mass at Point P for the first 2 seconds.
πQuestion 3 (20 points):
Create links respectively refereeing to the dimensions as shown above, and assemble
them using any Solidworks versions.
1) You need to check whether the assembled mechanism works or not. If
the design of the parts and the assembly are correct, the mechanism will
work when link 2 is rotated by you.
2) Denote almost the same dimensions of the mechanism as
shown above, and save them. You can denote the
dimensions on Assembly design using Smart Dimension tool.
3) In the assignment, you need to put the screen capture
images of your assembly design and Feature Manager
Design Tree as shown below.
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