Robotics: Locomotion Engineering

This introductory module provides an overview of robotics dynamics and control, introducing key concepts and fundamental principles that will be explored throughout the course. Students gain a broad understanding of robotic system dynamics and control challenges.

Skills you'll gain

This module focuses on the fundamental principles of rigid body dynamics, covering the mathematical and physical principles that govern the motion of solid objects in robotic systems. Students learn to analyze and model rigid body movement.

Skills you'll gain

This module explores the specific dynamics of robotic arms, including their movement patterns, force interactions, and control requirements. Students learn to understand and model the complex motions of robotic manipulators.

Skills you'll gain

In this practical project module, students apply their knowledge to model a robot arm system, implementing the theoretical concepts learned in previous modules. The focus is on creating accurate dynamic models of robotic manipulators.

Skills you'll gain

This module introduces the fundamentals of linear control theory and its applications in robotics. Students learn basic control system design principles and how to apply them to robotic systems.

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This module covers advanced control concepts including state space representation and the handling of multiple input/output systems. Students learn to model and analyze complex robotic systems using state space methods.

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This module explores nonlinear control systems and their applications in robotics. Students learn advanced techniques for controlling systems with nonlinear dynamics, common in real-world robotic applications.

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This module focuses on the theoretical foundations of system stability and its importance in robotic control. Students learn to analyze and ensure the stability of controlled robotic systems.

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This project module involves implementing control systems for mobile robot trajectory following. Students develop and test control algorithms for ensuring accurate path tracking.

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This module focuses on the specific challenges and solutions in controlling quadrotor systems. Students learn about the unique dynamics and control requirements of aerial robotic platforms.

Skills you'll gain

This module covers methods for generating optimal and feasible trajectories for robotic systems. Students learn techniques for planning smooth, efficient paths while considering system constraints.

Skills you'll gain

In this final project module, students integrate their knowledge to develop planning and control systems for a quadrotor platform. The project involves implementing both trajectory planning and control algorithms.

Skills you'll gain