❇️Revolutionizing Multi-Robot Path Planning: Adaptive Differential Sine-Cosine Algorithm

In this video, we explore the innovative Multi-Strategy and Self-Adaptive Differential Sine–Cosine Algorithm in MATLAB, enhancing multi-robot path planning. Surpassing the traditional SCA, this approach introduces diverse strategies for better adaptability and performance, achieving a 42% improvement in navigating complex environments. Discover its application, comparisons with leading algorithms, and its potential to transform robotics.
🔻YouTube: https://youtu.be/4ZSgFP-G-jY
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#Robotics #PathPlanning #MATLABSimulation #AlgorithmImprovement #MultiRobotSystems #AdaptiveAlgorithms #SineCosineAlgorithm #MetaheuristicAlgorithms #EngineeringInnovation #TechExploration

✳️Inverted Pendulum Control: RL + MPC Implementation

1️⃣ Reinforcement Learning Features:
- Q-Learning for system identification
- Self-learning pendulum balancing
- No prior model needed

2️⃣ MPC Implementation:
- Real-time optimization
- Constraint handling
- Precise position/angle control

3️⃣ Hardware:
- DC motor (50:1 gearbox)
- Dual encoders
- STM32 controller
- Custom PWM driver

4️⃣ Performance:
- Upright stabilization
- Disturbance rejection
- Accurate tracking

By: Javad Safaei
Supervisor: Naser Pakar
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#InvertedPendulum #ReinforcementLearning #ModelPredictiveControl #Robotics #ControlSystems #Engineering