Weekly schedule

Each project will be discussed in a weekly 2-hour meeting. This will be the opportunity to discuss how to solve problems, related theory and techniques, related work done by others, report or paper writing, practicing presentations, troubleshooting, and any other project related topics. The first 3-weeks will be used to discuss some related research publications listed above, to refine a research question to be investigated, and to plan the resources and methods. The last 2-weeks will be spent on polishing the demonstration and the report.

16 Jan 2020: Introduction, outline learning outcomes, and lab visit in the basement of the Dyson Building. Then students go out and prepare draft project proposals consisting of a) Objective, b) Methods, c) Expected outcomes, and d) Gantt chart (maximum 3 pages). We encourage to make groups of 2 students each.

23 Jan 2020: Students submit project proposals. Meet and discuss to help sharpen the research questions and methods (0.5 hr of brief, 1 hr of discussion about possible research questions). Use this discussion to come up with a detailed experimentation plan and schedule. If there are collaborating PhD students involved, discuss their availability to do experiments.

30 Jan – 12 March: The first hour will be spent on theory discussions. Last year I taught

  • different methods for noise filtering in experimental data, such as Wavelet decomposition, Savitsky-Golay filters, Kalman Filters, smoothing.
  • statistical methods for hypothesis testing. This included power analysis to determine the sample size.
  • different robot design paradigms such as bio-inspiration, situated design, and concepts like embodied intelligence.
  • this year, I plan to discuss AI concepts like Bayesian inferencing, neural networks, and fuzzy inferencing.

The above theory discussion will be followed by a 2-hour lab session where I meet you individually while working on your projects to address ongoing problems. This happens in the basement robotics lab area. Students are expected to spend on average about 8-hours per week doing experiments and analysis.

19 March: Student groups do technical presentations (15 min conference style talks) followed by a 10 min viva. A panel representing the Imperial Robotics Forum will give marks (25% of final grade).

27 April: Students submit an 8-page report following an IEEE conference paper format (75% of the final grade).