We met with some of the Master’s engineering design group again. Tonight, they performed benchmark analysis on Bowie the robot. We also discussed in depth the tradeoff predicament version 1.0 of the robot is at with regards to the power of the motors. It was great that they were attentive and understood. We watched some of the videos of the testing of the robot in Summer 2018 to analyse some of the timing of the turns and going forward. At the end, we went through the photos of all 23 iterations of the robot. This was the last piece of project management work – next week is design time!
We met with the University of Ottawa Master’s Engineering Design project team tonight, where we showed them a tour of the Prototyping Lab at Bayview Yards and discussed their project plan. We tried to determine what resources we might need for achieving all aspects of the project plan.
The group is super curious about the robot, and robotics in general. Their module will be useful, to see if IR light is useful in detecting plastics. It will be interesting to try it both in the day, and at night.
We received info from the Master’s engineering design team about their project plan. Their project plan is very focused, which is good to hopefully provide a useful result. As well, it contains a stretch goal. Later this week, we will have a chance to meet and discuss what resources will be needed.
Here is some info from their plan:
Our project would be divided into 3 parts, 2 fundamental parts and 1 advanced part
1. Mechanical design of the mechanical structure (Pan-Tilt Mount) – Fundamental
Object: This pan-tilt mount should be able support 360 version of camera
2. Environment configuration of robot vision system – Fundamental
Object: Installing tensorflow on Raspberry Pi, connecting Raspberry Pi and IR camera. After
configuration, the picture captured by IR camera should be able displayed in tensorflow on Raspberry Pi
3. Object detection and recognition based on IR image – Advanced
Object: Designing object detection and recognition algorithm based on IR image using Tensorflow
We look forward to working with them and for developing a new Bowie module. More to come later in the week!
For University of Ottawa’s Engineering Design course GNG5140, as a client we were paired with a group to work on something for Robot Missions. Today we had our first informational meeting — Meet the team!
Here is some info about it from the Winter 2020 client package:
GNG5140 is an open ended, hands-on engineering design course that provides students with fundamentals and advanced concepts of the engineering design process from client empathy to prototyping and testing. Students work directly with clients to solve a real societal need. There is a strong component of teamwork and lifelong learning.
Students taking this course are most likely in MEng (Master’s of Engineering). The students work in teams of 4-6 and are from all engineering departments.
At the end of the semester the students should have produced a final prototype with a user manual. The final prototypes from the successful groups will be available to the client to test with, keep for use, etc. The other prototypes will be disassembled to recycle parts from them.
We’ll be meeting about 4 times over the course of the semester, a total time commitment of about 10 hours. It all culminates in Design Day, where the students will then exhibit their work!
We’ve collaborated with engineering design classes in the past, and it was a blast. No doubt that this one will also be fun too. Can’t wait to see what the team will make, and will post updates about it here.