Cesar Dario Cadena Lerma: Katalogdaten im Frühjahrssemester 2018 |
| Name | Herr Dr. Cesar Dario Cadena Lerma |
| Namensvarianten | Cesar Cadena Cesar Cadena Lerma Cesar Dario Cadena Cesar Dario Cadena Lerma |
| Adresse | Professur für Robotersysteme ETH Zürich, LEE H 303 Leonhardstrasse 21 8092 Zürich SWITZERLAND |
| Telefon | +41 44 633 88 03 |
| cesarc@ethz.ch | |
| URL | https://n.ethz.ch/~cesarc/ |
| Departement | Maschinenbau und Verfahrenstechnik |
| Beziehung | Dozent |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 151-0634-00L | Perception and Learning for Robotics 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 cesarc@ethz.ch for approval. | 4 KP | 1A | C. D. Cadena Lerma, I. Gilitschenski, R. Siegwart | |
| Kurzbeschreibung | This 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. | ||||
| Lernziel | Applying Machine Learning methods for solving real-world robotics problems. | ||||
| Inhalt | Deep Learning for Perception; (Deep) Reinforcement Learning; Graph-Based Simultaneous Localization and Mapping | ||||
| Skript | Slides will be made available to the students. | ||||
| Literatur | Will be announced in the first lecture. | ||||
| Voraussetzungen / Besonderes | The students are expected to be familiar with material of the "Recursive Estimation" and the "Learning and Intelligent Systems" 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. | ||||