Modeling and Simulink of Robotic Navigation Using Simscape Multibody
Implementation plan
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Step 1: Initially, we design an industrial autonomous robot’s kinematics and dynamics methods using Simscape Multibody .
Step 2: Then, we simulate and collect data from sensor models like LiDAR, IMU, and stereo vision in the robot simulation environment.
Step 3: Next, we Implement Dijkstra path planning algorithm for autonomous navigation based on collected data.
Step 4: Next, we detect motor actuation and trajectory tracking data using a tune control algorithm.
Step 5: Next, we Detect objects and estimate distances using stereo vision image processing technique.
Step 6: Finally, we plot performance metrics for the following
6.1: Time Vs. Processing Latency (ms)
6.2: Time Vs Energy Consumption (J)
6.3: Time vs. Velocity (meters/second)
Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink or above
2. Operating System: Windows-10 (64-bit) or above
Note:
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
