Robotic Arm Motion Trajectory

This project is developed using MATLAB, aiming to conduct scheduling algorithm simulations. The simulation study focuses on evaluating scheduling algorithm performance, including metrics such as scheduling time, system response time, and resource utilization. To achieve this objective, we first establish fundamental principles of scheduling algorithms and examine common algorithm types such as First-Come-First-Served (FCFS), Shortest-Job-First (SJF), and Highest-Response-Ratio-Next (HRRN).

In the MATLAB implementation, we create a simulation model using key functions like queue for managing task sequences and sort functions for prioritizing jobs based on different scheduling criteria. The simulation framework incorporates timing mechanisms through MATLAB's tic-toc functions to measure execution efficiency. For each algorithm type, we implement specific sorting logic: FCFS maintains arrival order, SJF prioritizes shortest processing time using array sorting, while HRRN dynamically calculates response ratios using mathematical operations on completion and service time variables.

We then conduct comparative performance analysis of different scheduling algorithms through multiple simulation runs, generating quantitative results using MATLAB's data visualization tools like plot for performance comparison charts. Finally, we discuss simulation outcomes and propose improvement suggestions, providing practical references for real-world applications of scheduling algorithms in robotic motion control systems.