MSc Robotics and Artificial Intelligence

Annotated model answers written to the conventions of a UK MSc Robotics and Artificial Intelligence, covering industrial automation, deep reinforcement learning, computer vision and linear control. Each is a worked example of a different postgraduate move.

4 samples Undergraduate · BSc level c. 2,000 words each

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The four samples

Each card links to the annotated page for that assignment, where two or three passages are quoted and the reasoning behind them written out.

Industrial Automation Model answer

Integrating Industrial Robots and IEC 61131-3 PLC Control in Industry 4.0 Manufacturing Cells

MSc Robotics and Artificial Intelligence · c. 2,317 words · Harvard

A 2,317-word MSc technical report on PLC–robot integration that refuses the easy conclusion about collaborative robotics. Three annotated extracts show how to qualify an industry claim with evidence rather than enthusiasm.

  • Bounds the fashionable claim instead of repeating it
  • Cites Stuxnet for the mechanism it proved, not its fame
  • Ends in a committed design, not a summary
Applied AI Model answer

Deep Reinforcement Learning for Robotic Manipulation: Algorithms, Sim-to-Real Transfer and Safe Deployment

MSc Robotics and Artificial Intelligence · c. 2,181 words · Harvard

A 2,181-word MSc critical literature review that organises the field around one unsolved problem rather than by chronology. Three annotated extracts show the difference between reviewing a literature and listing it.

  • Organised by open problem rather than by paper
  • Names the hidden engineering judgement in domain randomisation
  • Treats safety as structural to RL, not an ethics footnote
Machine Learning Model answer

Convolutional Neural Networks versus Vision Transformers for Object Detection in Mobile Robot Perception

MSc Robotics and Artificial Intelligence · c. 2,097 words · Harvard

A 2,097-word MSc essay that compares two architectures and then questions whether the benchmark everyone cites means anything for a robot. Three annotated extracts show how to interrogate your own evidence base.

  • Questions whether its own benchmark measures the right thing
  • Converts 100 ms of latency into 15 cm of travel
  • Comparison table whose first row explains the others
Control Engineering Model answer

State-Space Modelling and Linear Quadratic Regulator Design for an Inverted Pendulum on a Cart

MSc Robotics and Artificial Intelligence · c. 2,255 words · Harvard

A 2,255-word MSc design report on the classic inverted pendulum that explains why the textbook problem resists the textbook controller. Three annotated extracts show how to justify a design choice rather than assert it.

  • Shows PID's limit here is architectural, not a tuning failure
  • Spends an earlier result to license a later design choice
  • Gives every mathematical result its physical meaning