Cesar Dario Cadena Lerma: Catalogue data in Spring Semester 2021

Name Dr. Cesar Dario Cadena Lerma
Name variantsCesar Cadena
Cesar Cadena Lerma
Cesar Dario Cadena
Cesar Dario Cadena Lerma
Professur für Robotersysteme
ETH Zürich, LEE H 303
Leonhardstrasse 21
8092 Zürich
Telephone+41 44 633 88 03
DepartmentMechanical and Process Engineering

151-0634-00LPerception and Learning for Robotics Restricted registration - show details
Number of participants limited to: 30

To apply for the course please create a CV in pdf of max. 2 pages, including your machine learning and/or robotics experience. Please send the pdf to Link for approval.
4 credits9AC. D. Cadena Lerma, J. J. Chung
AbstractThis course covers tools from statistics and machine learning enabling the participants to deploy these algorithms as building blocks for perception pipelines on robotic tasks. All mathematical methods provided within the course will be discussed in context of and motivated by example applications mostly from robotics. The main focus of this course are student projects on robotics.
ObjectiveApplying Machine Learning methods for solving real-world robotics problems.
ContentDeep Learning for Perception; (Deep) Reinforcement Learning; Graph-Based Simultaneous Localization and Mapping
Lecture notesSlides will be made available to the students.
LiteratureWill be announced in the first lecture.
Prerequisites / NoticeThe students are expected to be familiar with material of the "Recursive Estimation" and the "Introduction to Machine Learning" lectures. Particularly understanding of basic machine learning concepts, stochastic gradient descent for neural networks, reinforcement learning basics, and knowledge of Bayesian Filtering are required. Furtheremore, good knowledge of programming in C++ and Python is required.
151-9062-00LRobotics Summer School Restricted registration - show details
Number of participants limited to 30.

Students need to apply here: Link
1 credit2SC. D. Cadena Lerma, M. Chli, M. Hutter
AbstractThis summer school offers lectures and hands-on tutorials on fundamental concepts that every roboticist around the world should possess. The tutorials as well as hands-on sessions with cutting edge robotics platforms will take place at a dedicated education and training center for search and rescue.
ObjectivePractical robotics application of fundamental concepts of state estimation, control and navigation.
ContentTrajectory Optimization; State Estimation; Localization and Mapping with multiple sensor modalities; Obstacle Avoidance and Path Planning; Recognition and Tracking.
Prerequisites / NoticeC++ programming basics, Linux Basics. Students need to bring their own laptop to the summer school. Instructions how to prepare the laptop are provided on the summer school homepage one week prior to the start. Students are expected to have taken the "151-0662-00L Programming for Robotics - Introduction to ROS" lecture or have acquired equivalent knowledge of ROS.