Advanced Robotics
( 25 Modules )

Module #1
Introduction to Advanced Robotics
Overview of advanced robotics, course objectives and outline

Module #2
Robotics Fundamentals Review
Review of robotics basics:kinematics, dynamics, and control

Module #3
Sensing and Perception in Robotics
Overview of sensing modalities:sensors, computer vision, and machine learning

Module #4
Machine Learning for Robotics
Introduction to machine learning techniques for robotics:supervised, unsupervised, and reinforcement learning

Module #5
Robot Operating System (ROS) Introduction
Introduction to ROS:setup, configuration, and basic programming

Module #6
Advanced ROS Programming
In-depth ROS programming:nodes, topics, services, and packages

Module #7
Robot Arm Kinematics and Dynamics
Kinematics and dynamics of robot arms:forward and inverse kinematics, Jacobian, and task-space control

Module #8
Robot Arm Control and Calibration
Control and calibration of robot arms:PID control, trajectory planning, and motion planning

Module #9
Mobile Robotics:Kinematics and Dynamics
Kinematics and dynamics of mobile robots:velocity and acceleration, motion models, and control

Module #10
Mobile Robotics:Localization and SLAM
Localization and SLAM:GPS, IMU, laser scanners, and visual-based methods

Module #11
Autonomous Systems:Perception and Decision-Making
Perception and decision-making in autonomous systems:sensor fusion, obstacle detection, and route planning

Module #12
Human-Robot Interaction (HRI)
Overview of HRI:human-centered design, user studies, and interaction modalities

Module #13
HRI:Gesture Recognition and Speech Processing
Gesture recognition and speech processing for HRI:machine learning techniques and applications

Module #14
Robot Learning from Demonstration (RLfD)
RLfD:learning from human demonstrations, policy learning, and skill acquisition

Module #15
Swarm Robotics:Fundamentals and Applications
Swarm robotics:decentralized control, communication, and coordination of multi-robot systems

Module #16
Aerial Robotics:Quadcopters and Drones
Aerial robotics:quadcopter design, control, and applications:navigation, obstacle avoidance, and surveillance

Module #17
Soft Robotics:Design and Control
Soft robotics:design and control of soft robots, kinematics, and dynamics of soft bodies

Module #18
Robotics and Computer Vision
Computer vision for robotics:image processing, feature extraction, and object recognition

Module #19
3D Reconstruction and Mapping
3D reconstruction and mapping:stereo vision, structure from motion, and Simultaneous Localization and Mapping (SLAM)

Module #20
Robotics and Machine Learning for Healthcare
Applications of robotics and machine learning in healthcare:rehabilitation, surgery, and assistive technologies

Module #21
Robotics and Computer Vision for Industrial Applications
Industrial applications of robotics and computer vision:quality inspection, object recognition, and grasping

Module #22
Robotics and IoT:Integration and Applications
Integration of robotics and IoT:sensor networks, data analytics, and cloud robotics

Module #23
Robotics and Cybersecurity
Cybersecurity in robotics:threat analysis, vulnerability assessment, and secure design principles

Module #24
Robotics Ethics and Societal Impact
Ethical considerations in robotics:privacy, accountability, and societal implications

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Robotics career

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Advanced Robotics ( 25 Modules )

Advanced Robotics
( 25 Modules )