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LearnFlat · AI Applications (Interdisciplinary) · AI for Robotics & Autonomous Systems

Robotic Control Systems

Study the principles of robot dynamics and control theory. Learn to design controllers like PID and LQR, and explore modern adaptive and learning-based control methods for precise robot motion.

328 courses

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System Identification Essentials: Building Mathematical Models from Data

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Foundations of Intelligent Machining

★ 4.6 (1 389)
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MATLAB and Simulink: Practical Modeling and Simulation

★ 4.5 (922)
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Designing Feedback Control for Switching Power Converters

★ 4.8 (650)
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Spacecraft Dynamics and Attitude Control Fundamentals

★ 4.8 (440)
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Automatic Control Systems: Fundamentals of Feedback and Automation

★ 4.7 (363)
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Frequency Response Methods in Control Systems

★ 4.3 (163)
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Power Electronics: Modeling and Control Fundamentals

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Control Systems Engineering with MATLAB

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Modeling Dynamic Systems for Control Analysis

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Linear Control Systems: s-Plane Analysis and Compensator Design

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Advanced Mechanical Vibrations

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Foundations of Control Systems Analysis in MATLAB

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Mobile Robotics Fundamentals: Odometry and Reactive Behaviors

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Foundations of Simulink: Model and Simulate Dynamic Systems

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System Modeling and Simulation with Simulink

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Practical MATLAB and Simulink Fundamentals

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Modern Control Systems and State-Space Design

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Adaptive Behavior and Bio-Inspired Intelligence

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Engineering Innovation and Design Optimization with Ansys

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Building System Dynamics Simulations in AnyLogic

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Kalman Filter and State Estimation Fundamentals

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Modeling Autonomous Systems: Foundations and Frameworks

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Introduction to System Dynamics and Control

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Showing 1–24 of 328 courses