Robotics Summer School 2022 - Interview with Edward Hu

The 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 2022 took place at Mila - Quebec AI Institute - from August 22 to 25.
The program consisted in lectures on robotics programming, simultaneous localization and mapping, or trajectory optimization, and hands-on practice on quadruped robots culminating into a challenge through an obstacle course.
The participating students united their brain power to compete in the final challenge, and had a lot of fun throughout the process.
Discover their interviews. They tell you about their discoveries, their difficulties and what they take away from this experience.
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𝙄𝙣 𝙩𝙤𝙙𝙖𝙮'𝙨 𝙫𝙞𝙙𝙚𝙤
Eduard Hu, first year PhD student at Mila, advised by Yoshua Bengio, working on Deep Learning.
Mila's Robotics Summer School 2022 participant.
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𝙉𝙤𝙩𝙚𝙨 𝙤𝙣 𝙩𝙝𝙚 𝙘𝙤𝙣𝙩𝙚𝙣𝙩
00’13” : 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 = a subset of machine learning where artificial neural networks - algorithms inspired by the human brain - learn from large amounts of data.
00’27”: 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝘀 translate real problems into mathematical concepts and language.
01'54": 𝗟𝗼𝘄 𝗹𝗲𝘃𝗲𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 = manage the low-level execution of control primitives by setting the controllers and providing suitable control for example to motors, power board,...
𝗛𝗶𝗴𝗵 𝗹𝗲𝘃𝗲𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 = these are responsible for user interaction, task planning, path planning, and execution monitoring.
02'06": 𝗠𝗣𝗖 = Model Predictive Control is an advanced method of process control that is used to control a process while satisfying a set of constraints.
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