This module focuses on dynamic analysis, providing students with essential knowledge about the forces and motions acting on robotic systems.
This introductory module sets the stage for understanding robotics. Students will learn about the historical context, key concepts, and the importance of robotics in modern technology.
This module dives into the various technologies that enable robotic systems to function. Students will explore sensors, actuators, and control systems that are crucial for robot operation.
In this module, students will study industrial robots, their applications in manufacturing, and their impact on productivity and efficiency in various industries.
This module covers industrial manipulators and their kinematics, focusing on the mathematical models that govern their motion and control.
Students will learn about parallel manipulators, their design, and advantages in specific applications, including their kinematic and dynamic characteristics.
This module focuses on gripper manipulators, essential for tasks requiring precision and versatility in handling various objects within robotic systems.
Students will explore electric actuators, their mechanisms, applications, and how they play a vital role in robotic systems.
This module discusses different types of actuators, including hydraulic and pneumatic systems, and their specific applications in robotics.
Students will learn about internal state sensors, which provide crucial data for the operation and control of robotic systems.
This module continues the exploration of internal state sensors, focusing on their integration into robotic systems for effective data collection and analysis.
In this module, students will explore external state sensors and their critical role in robot perception and interaction with the environment.
This module covers trajectory planning, focusing on the algorithms and strategies used to guide robots along optimal paths.
Students will continue their study of trajectory planning, analyzing advanced techniques and applications in various robotic systems.
This module further explores trajectory planning, examining its importance in the overall functionality and performance of robotic systems.
In this module, students will analyze various trajectory planning techniques, focusing on their application in real-world robotics scenarios.
This module covers trajectory planning, emphasizing the role of machine learning and artificial intelligence in optimizing robot movement.
Students will explore various trajectory planning algorithms, understanding their strengths and weaknesses in different robotic applications.
This module introduces forward position control, focusing on the principles and methods used to control the position of robotic systems accurately.
Students will learn about the inverse problem in robotics, which involves determining the necessary joint configurations to achieve a desired end effector position.
This module covers velocity analysis, focusing on methods to analyze and calculate the velocities of robotic components during operation.
Students will continue studying velocity analysis, applying techniques to various robotic systems to improve performance and control.
This module focuses on dynamic analysis, providing students with essential knowledge about the forces and motions acting on robotic systems.
In this module, students will learn about image processing techniques used in robotics, including object recognition and visual tracking.
This module continues the exploration of image processing, focusing on advanced methods and algorithms for improving robot perception.
Students will study various image processing applications in robotics, including scene analysis, navigation, and obstacle avoidance.
This module focuses on the integration of image processing with other robotic systems to enhance overall performance and capabilities.
Students will explore the role of image processing in real-time robotic applications, focusing on speed and efficiency in data handling.
This module covers the integration of image processing with machine learning techniques to improve automated decision-making in robotics.
Students will learn about robot dynamics and control methods, focusing on how to design and implement control strategies for various robotic systems.
This module continues the study of robot dynamics, emphasizing the importance of feedback control in ensuring stability and responsiveness.
Students will analyze various control strategies for robotic systems, including PID control, adaptive control, and others, assessing their effectiveness.
This module explores case studies in robot dynamics and control, allowing students to apply theoretical knowledge to practical situations.
Students will discuss futuristic topics in robotics, exploring emerging technologies and their potential impact on the field.
This module provides an overview of upcoming trends and advancements in robotics, preparing students for the future of the industry.
Students will explore the ethical implications of robotics technology, discussing challenges and responsibilities in the evolving field.
This module investigates the role of robotics in society, discussing its benefits and potential drawbacks in various sectors.
Students will explore collaborative robotics, focusing on human-robot interaction and the design of systems that work alongside humans.
This module discusses the future of automation, exploring how robotics will transform industries and the workforce.
Students will analyze case studies on futuristic topics in robotics, evaluating their implications for society and technology.
This concluding module synthesizes the knowledge gained throughout the course, allowing students to reflect on their learning and future directions in robotics.