Advanced Robotic Sensing and Perception
( 25 Modules )

Module #1
Introduction to Robotic Sensing and Perception
Overview of robotic sensing and perception, importance, and applications

Module #2
Sensor Modalities
Types of sensors, characteristics, and applications (e.g., cameras, lidars, sonars, GPS)

Module #3
Camera Systems
Principles of camera operation, camera models, and camera calibration

Module #4
Computer Vision Fundamentals
Image processing, feature extraction, and object recognition

Module #5
Lidar and 3D Point Cloud Processing
Principles of lidar operation, point cloud processing, and feature extraction

Module #6
Sonar and Acoustic Sensing
Principles of sonar operation, acoustic sensing, and obstacle detection

Module #7
GPS and Localization
Principles of GPS operation, localization methods, and error analysis

Module #8
Sensor Fusion
Methods for combining data from multiple sensors, sensor fusion algorithms

Module #9
Object Detection and Tracking
Algorithms for object detection, tracking, and classification

Module #10
Scene Understanding and Segmentation
Scene understanding, segmentation, and parsing

Module #11
Motion Estimation and Tracking
Motion estimation, tracking, and odometry

Module #12
SLAM (Simultaneous Localization and Mapping)
SLAM algorithms, implementation, and applications

Module #13
Machine Learning for Robotic Perception
Introduction to machine learning, deep learning, and applications to robotic perception

Module #14
Deep Learning for Computer Vision
Convolutional neural networks (CNNs), object detection, segmentation, and classification

Module #15
Sensorimotor Contingency Theory
Sensorimotor contingency theory, active perception, and robotics

Module #16
Active Perception and Exploration
Active perception, exploration, and information gathering

Module #17
Human-Robot Interaction and Perception
Human-robot interaction, perception, and understanding

Module #18
Robustness and Uncertainty in Robotic Perception
Robustness, uncertainty, and error propagation in robotic perception

Module #19
Perception for Autonomous Systems
Perception for autonomous vehicles, drones, and robots

Module #20
Perception in Unstructured Environments
Perception in unstructured environments, such as search and rescue, agriculture, and construction

Module #21
Perception for Manipulation and Grasping
Perception for manipulation, grasping, and object manipulation

Module #22
Sensor-Centric Robotics
Sensor-centric robotics, sensor-based control, and sensor-guided motion

Module #23
Robot Operating System (ROS) and Perception
ROS, perception, and sensor integration

Module #24
Case Studies in Advanced Robotic Sensing and Perception
Real-world applications, case studies, and project development

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Robotic Sensing and Perception career

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Advanced Robotic Sensing and Perception ( 25 Modules )

Advanced Robotic Sensing and Perception
( 25 Modules )