Icon Course

Robotics III – Sensors and Perception in Robotics

Participation is via Zoom and is voluntary. Please make sure to check https://s.kit.edu/zoomhinweise before you participate. The lecture supplements the lecture Robotics I with a broad overview of sensors used in robotics. The lecture focuses on visual perception, object recognition, simultaneous localization and mapping (SLAM) and semantic scene interpretation. The lecture is divided into two parts: In the first part, a comprehensive overview of current sensor technologies is given. A basic distinction is made between sensors for the perception of the environment (exteroceptive) and sensors for the perception of the internal state (proprioceptive). The second part of the lecture concentrates on the use of exteroceptive sensors in robotics. The topics covered include tactile exploration and visual data processing, including advanced topics such as feature extraction, object localization, simultaneous localization and mapping (SLAM) and semantic scene interpretation. Learning Objectives: Students know the main sensor principles used in robotics and understand the data flow from physical measurement through digitization to the use of the recorded data for feature extraction, state estimation, and environmental modeling.

General Information

Important Information
The lecture will take place online via Zoom every Thursday, 05:30 P.M. through 07:00 P.M. You can enter the Zoom Meeting via:

https://kit-lecture.zoom.us/j/64094075403?pwd=RTRiS0FLL25ud2NVOEtldWNCOFhrdz09

Meeting ID: 640 9407 5403
Passcode: 381795

Veranstaltungsdaten

Abschluß
Master
Start
15. Apr 2021
Veranstaltungsart
Vorlesung
Modulart
Wahlfach
Zyklus
wöchtl.

Description

Participation is via Zoom and is voluntary. Please make sure to check https://s.kit.edu/zoomhinweise before you participate.

The lecture supplements the lecture Robotics I with a broad overview of sensors used in robotics. The lecture focuses on visual perception, object recognition, simultaneous localization and mapping (SLAM) and semantic scene interpretation. The lecture is divided into two parts:

In the first part, a comprehensive overview of current sensor technologies is given. A basic distinction is made between sensors for the perception of the environment (exteroceptive) and sensors for the perception of the internal state (proprioceptive).

The second part of the lecture concentrates on the use of exteroceptive sensors in robotics. The topics covered include tactile exploration and visual data processing, including advanced topics such as feature extraction, object localization, simultaneous localization and mapping (SLAM) and semantic scene interpretation.

Learning Objectives:

Students know the main sensor principles used in robotics and understand the data flow from physical measurement through digitization to the use of the recorded data for feature extraction, state estimation, and environmental modeling.

General

Language
German

Contact

Name
Christoph Pohl
Telephone
+49 721 608 47127
Consultation
Nach Vereinbarung

Availability

Access
Unlimited
Admittance
If a course administrator has given you the course password, you can join this course.
Registration Period
Until 01. Apr 2022, 14:00
Period of Event
15. Apr 2021 - 22. Jul 2021

Visible Personal Data for Course Administrators

Data Types of the Personal Profile
Username
First Name
Last Name
E-Mail
Matriculation number

Additional Information

Object-Id
2008764
Permanent Link
Created on
09. Apr 2021, 13:54