ELEC-E8111 - Autonomous Mobile Robots D, Lecture, 28.2.2023-16.6.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The student understands and can explain main concepts related to Autonomous  mobile robots and vehicles. The student can implement algorithms for different functions of mobile robots.

Credits: 5

Schedule: 28.02.2023 - 16.06.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Tomasz Kucner

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    The locomotion and kinematics of mobile robots and intelligent vehicles. Machine perception and sensors for mobile robots; representing uncertainty, wheel/motor/heading sensors, inertial measurement unit (IMU), beacons, active ranging and machine vision for outdoor use. Mobile robot localization and mapping, probabilistic and other map representations, different approaches for SLAM. Path and trajectory planning and navigation, reactive control, obstacle avoidance and safety. Motion Control; trajectory and path following, NMPC. Intelligent autonomous heavy duty work machines and vehicles. Fleet control. Autonomous cars.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    To pass: Normal Exam, testing understanding + Pass, possibly extra points if well done,  of Team works: Design task and ROS/Pioneer, testing ability to apply.

    Grading: Basic Grading on the basis of the Exam, max 36 points + Team: Design task,  3 points up to about 50% of one grade improvement & Team: ROS/Pioneer, 3 points up to about 50% of one grade improvement

Workload

  • valid for whole curriculum period:

    Contact teaching, lectures: 24 h; Working at home with lecture material 24 h; Team: Design task, 26 h; Team: ROS/Pioneer, 26 h; Reading for exam 35 h

    Total 135 h

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring IV - V
    2023-2024 Spring IV - V

    Enrollment :

    Registration for Courses on Sisu (sisu.aalto.fi).

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