The core math class of the second Robot project in the United States is free and open, and the homework and handouts given by the dean are all synchronized

2022-06-15 0 By

Line number from the sunken the temple qubits | public early QbitAI news ~ in Ann arbor, Michigan Robotics institute opened its core courses: Robotics, 501: Mathematics for Robotics.The University of Michigan at Ann Arbor is known as the “public Ivy” engineering school, the QS rankings basically maintain around the 20th place.Its robotics program is ranked second in the United States: in the whole program, the curriculum is divided into four major areas: core curriculum, perception, decision-making and control.One of the core courses is open access, which focuses on applied mathematics in robotics engineering: it’s taught by Jessy W. Grizzle (far left), dean of the University of Michigan’s Robotics school.Prof Grizzle directs a number of robotics projects, most recently building a bipedal robot that can walk over rough grass: now you have the opportunity to sit in front of the dean of the university.This course includes 26 Lecture videos, 10 assignments, and two exams (including answers).Main topics include vector space, orthogonal basis, projection theorem, matrix decomposition, Kalman filter and basic probability concepts.In addition, norm, convergence sequence, compression mapping, Newton iterative method, nonlinear optimization, etc., are also involved: even notes and handouts are available: it doesn’t matter if you don’t know how to start, the school has arranged a smooth learning plan for you: two classes a week, a total of 27 classes, which can be divided into 15 weeks.The learning objectives and content of each course are also marked: of course, since this is a postgraduate course, some prerequisites are required to continue reading without pressure: basic knowledge of linear algebra, probability theory, calculus, etc., as well as some knowledge of MATLAB and programming are required.In addition to ROB501, ROB530 is also being updated: this course will introduce More topics related to robotics.For example, Bayesian filtering, motion and sensor models of mobile robots, mapping and localization algorithms, and applications of automatic land, sea and air vehicles.It is expected to end in March.If you are interested, let’s learn it.[1]https://github.com/michiganrobotics/rob501[2]https://robotics.umich.edu/[3]https://github.com/UMich-CURLY-teaching/UM· Toutiao sign up to follow us, the first time to learn the latest technology trends