RRP assessment

Dyson School of Design Engineering – 2018-2019 Robotic Research Projects

Deliverables and assessment

Learning outcomes

On successful completion of the module, students should be able to:

  • Apply robotics system design methods and biological principles to the development and construction of a novel intelligent robotic system.
  • Select and utilize appropriate software in the programming and demonstration of a robotic system.
  • Select and utilize appropriate fabrications techniques to develop and build a small robot that includes integrated electrical and mechanical components.
  • Discuss the opportunities and limitations of current robotics technologies.
  • Demonstrate an understanding of the potential scope of application for robotic systems.

Assessment-1

Technical presentation on 19th March 2020

Percentage of marks: 25%

Duration for each presentation: 15 mins

Assessment panel: Four staff members (Thrishantha Nanayakkara, Petar Kormushev, and Nicolas Rojas) will independently award marks for the clarity of each of the following objectives

Nature of feedback: Oral feedback at the end of each presentation

Objectives:

  1. To show what research question was addressed in the short project showing why it is important.
  2. To show what methods were used to address/investigate the question.
  3. To show what results were obtained and what can be concluded.
  4. To show how these insights can be useful to future robot design approaches.

Grade descriptor:

Assessment criteriaPass (D grade)Excellent (A grade)
Research questionBroad outline available.A very clear question is articulated with clear evidence of why it is timely and important.
MethodsBroad description is available throughout the presentation.Clear analytical and/or experimental methods are shown with clear evidence like figures.
ResultsSome qualitative and/or quantitative results are available.Insights not readily available in raw data have been derived through analysis.
InsightsStudent can answer questions about deeper insights.Student presents deeper insights based on own analysis and evidence. Student can relate findings to other work in the field.

Assessment-2

Technical report due on 27th April 2020 by midnight.

Percentage of marks: 75%

Length of report: 6-8 page technical report in IEEE conference paper format (2 column, Arial 11 font)

Assessment panel: At least two staff members (Thrishantha Nanayakkara, Petar Kormushev, Nicolas Rojas, and Weston Baxter) will independently award marks for each report for the clarity of each of the following objectives

Nature of feedback: A collated document of independent written feedback in the format of a technical paper review

Objectives:

  1. To write an abstract showing what research question was addressed in the short project mentioning why it is important.
  2. To write an introduction outlining related work identifying a need to do the chosen project.
  3. To write a methods section showing what research methods were used to address/investigate the question.
  4. To write a results section showing experimental and/or analytical results.
  5. To write a conclusion section clearly articulating what can be concluded from the results.
  6. To write a discussion section showing insights that can be useful to future robot design approaches.

Grade descriptor:

Assessment criteriaPass (D grade)Excellent (A grade)
AbstractBroad outline of the work done is available.A very clear question is articulated highlighting why it is important to address it. The abstract clearly mentions the conclusion with summary findings.
IntroductionGives a broad outline to the project with at least 5 citations to relevant literature.A thorough discussion is done on the background literature citing more than 6 related papers. The introduction identifies an open challenge and outlines how the rest of the report is organized.
MethodsBroad description of analytical and/or experimental methods is available.Clear analytical and/or experimental methods are shown with clear evidence like photos, diagrams, tables, and figures.
ResultsSome qualitative and/or quantitative results are available.Insights not readily available in raw data have been derived through analysis. Plots are clearly presented with labelled axes. Tables are informative and structured. Figure and table captions are concise and self-explanatory.
ConclusionA broad conclusion is available.A clear and concise conclusion is available based on evidence.
DiscussionsStudent discusses broad insights, limitations, and opportunities for improvement.Student presents deeper insights based on own analysis and evidence. Student can relate findings to other work in the field.