Coursework / Group Project 2

2 - Oral assessment and presentation - 50

Coursework / Group Project 1

1 - Oral assessment and presentation - 50

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Imaging: 
Basic representation of images, Different types of images, image enhancement and filtering techniques, Hough Transform, Edges, Feature detection, Visible and Infrared Imaging, Image data fusion, AI and Machine Leaning 
Vision: 
Camera models, Camera Calibration, Mon-camera imaging, Stereo camera Imaging, Depth Imaging 
Robotics: 
Robotic Manipulators: Kinematics, Inverse Kinematics and Jacobians, Dynamics and Control, Visual Servicing 
Mobile Robotics: 
Kinematics, Dynamics and Control, Perception, Navigation and localisation, Path Planning, Obstacle Avoidance

Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

In-Person - 

Self-directed - 

Introduction to Autonomous Robots: Kinematics, Perception, Localization and Planning

Introduction to Robotics: Mechanics and Control

Publisher Springer International Publishing AG, Series Springer Tracts in Advanced Robotics

Robotics, Vision and Control: Fundamental Algorithms in MATLAB (R)

Digital Image Processing, Global Edition 

Introductory Techniques for 3-D Computer Vision 

EPM110 - Robotics, Imaging and Vision

EPM110-PRD1-BLE-ALV1

This module will be delivered in lectures including specialist’s visiting lectures, where Imaging, Robotics and Vision theoretical concepts will be introduced and analysed and in problem solving tutorial sessions involving the application of the theory via design examples. In Laboratory work you will develop your software, use hardware and instrumentation skills by designing, implementing and testing image processing, computer vision and robotic solutions. During the self-directed study time you will be expected to absorb the lectures, read more on the lectures given through textbooks, study the presented problems, work on developing software or hardware for the design examples and prepare the required solutions for the coursework submission. All material will be available in Moodle prior to the lectures.
You will be expected to use the self-directed study hours to work through the problems discussed in the tutorials. In addition, you should also try and learn the fundamentals of the risk assessment criteria for your specific sectors and validate against the theory you learned in the lessons.

Robotics, Imaging and Vision

Model the dynamic behaviour of vehicles and mobile robots operating individually or cooperatively and apply feedback control for effective trajectory planning and tracking. (AHEP4 M3) 

Knowledge

Propose designs of Autonomous Systems based on Robotics, Computer vision and Imaging technologies. (AHEP4 M1, M5)

Use advanced software tools to analyse, design and evaluate Robotic systems in Autonomous applications. (AHEP4 M12, M13)

Analyse the performance and limitations of robotics, Computer vision and imaging technologies in the context of Autonomous Systems operation. (AHEP4 M2)

Analyse complex data obtained from multiple cameras in real-time by applying intelligent techniques based on Statistics and Machine Learning. (AHEP4 M2)

Skills

Apply analytic and design knowledge in the field of Robotics and Image Processing creatively and in innovative ways. (AHEP4 M2, M3, M5)

Recognise and take responsibility for developing safe and reliable products and solutions. (AHEP4 M7)

Values and attitudes

Develop novel concepts related to Robotics and Imaging and evaluate them through suitable hardware and/or software platforms. (AHEP4 M3, M12)

Examine the importance of working with others in promoting an effective and innovative learning environment. (AHEP4 M16)