COMP52815: Robotics - Planning and Motion

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• COMP52615 Computer Vision; COMP52715 Deep Learning for Computer Vision and Robotics; PHYS51915 Introduction to Machine Learning and Statistics; PHYS52015 Introduction to Scientific and High Performance Computing

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• Develop knowledge of key concepts, approaches and algorithms in Robotics related to the planning and motion of one or multiple robotic platforms.
• Develop critical understanding and appreciation of current theoretical and empirical research in robotics and its application within industry.

• Themes will be chosen from contemporary areas of robotics including the following:
• general overview of the field of robotics;
• robot classification;
• position and orientation;
• typical actuators/sensors and basic/classical feedback control;
• kinematics and dynamics of mobile robots;
• simultaneous localisation and mapping (SLAM);
• path planning and obstacle avoidance.

Subject-specific Knowledge:

• By the end of the module students should have:
• developed a critical understanding of the contemporary robotics topics presented, how these are applicable to relevant real-world problems and have future potential for emerging needs in both a research and industrial setting;
• developed an advanced knowledge of the principles and practice of analysing relevant robotic planning and motion algorithms for problem suitability;
• developed a good understanding of managing the trade-off between task performance and processing requirements within the context of robotics;
• explored the most recent advancements in the relevant academic literature and developed a critical understanding of their implications for current industry practice.

Subject-specific Skills:

• By the end of the module, students should have developed highly specialised and advanced technical, professional and academic skills that enable them to:
• formulate and solve problems that involve the use of robotics for a range of control, motion and planning tasks using a range of algorithmic approaches;
• develop robotics control, motion and planning software solutions and use appropriate algorithms and approaches to address both industrial and research application tasks.

Key Skills:

• Written communication;
• Planning, organising and time management;
• Problem solving and analysis;
• Using initiative;
• Adaptability;
• Numeracy;
• Computer literacy.

• A combination of lectures, seminars, and guided reading will contribute to achieving the aims and learning outcomes of this module.
• The summative written assignment will test students' knowledge and critical understanding of the material covered in the module, their analytical and problem-solving skills.

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