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Lasse Husman

dblp:52/1298 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 50% Computational science and engineering · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › active learning
project-based learning
0.012004
Project in Robotics at The Copenhagen University College of Engineering · ICRA 2004
Computing education
robotics education
0.012004
Project in Robotics at The Copenhagen University College of Engineering · ICRA 2004

Methods — techniques the papers use, named apart from their topics

engineering design process · 0.0
YearPublicationVenuePosition
2004 Project in Robotics at The Copenhagen University College of Engineering
abstract
In this paper we present the development process of the small, autonomous mobile robot. The development of the robot is the main part of the interdisciplinary undergraduate course (4/sup th/ semester, 20 ECTS points) at The Copenhagen University College of Engineering, Denmark. The aim of the course is to teach the basics of mathematical modeling, control theory and how to complete the engineering design project from the specification to the working model of the specified product. During the course we work in teams and build the robots, which perform a compulsory task decided by professors and a free task decided by us (students). Each team consists of 3 to 5 students and has an appointed supervisor, who is one of the supporting professors attached to this course. The course ends with a competition where the fastest, most precise and most elegant robots - 3 STARS - win prizes. This paper describes the process of learning new disciplines, especially control theory, by combining the theory and practical design. We describe our learning process throughout the project, the advantages and disadvantages connected to this learning by doing method. Finally, we compare the time schedule planned at the beginning of the semester with the actual one.
Lasse Husman, Nicolai Vullum, Anna Friesel
ICRA2