How to Design Interactive Physical Learning Robots That Are Fun to Teach: If You Are Curious, I Will Show You!

The rise of autonomous systems—including smart environments, robots, and self-driving cars—has made it increasingly important to teach these systems effectively, maximizing their utility, ensuring desired behaviors, and enabling the correction of undesired actions. For these systems to be effective in real-world settings, they must be capable of in-situ learning and adapting to cultural norms, user preferences, and individual needs. Thus, a key challenge emerges: how can we design learning systems that are easy, efficient, and enjoyable for humans to teach?

Authors

Institutions

Publication Details

Journal
IEEE Pervasive Computing
Published
2025-04-01
DOI
https://doi.org/10.1109/mprv.2024.3516432
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How to Design Interactive Physical Learning Robots That Are Fun to Teach: If You Are Curious, I Will Show You!

Jan Leusmann, Michael Gienger, Sven Mayer, Chao Wang et al.
IEEE Pervasive Computing
Teaching and Learning Programming
article

How to Design Interactive Physical Learning Robots That Are Fun to Teach: If You Are Curious, I Will Show You!

Jan Leusmann, Michael Gienger, Sven Mayer, Chao Wang, Albrecht Schmidt
article en

Abstract

The rise of autonomous systems—including smart environments, robots, and self-driving cars—has made it increasingly important to teach these systems effectively, maximizing their utility, ensuring desired behaviors, and enabling the correction of undesired actions. For these systems to be effective in real-world settings, they must be capable of in-situ learning and adapting to cultural norms, user preferences, and individual needs. Thus, a key challenge emerges: how can we design learning systems that are easy, efficient, and enjoyable for humans to teach?

IEEE Pervasive ComputingVol. 24(2)
LMU Klinikum (DE), Honda (Germany) (DE), Ludwig-Maximilians-Universität München (DE)
Quality Education
Openalex Percentile: Top 77%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How to Design Interactive Physical Learning Robots That Are Fun to Teach: If You Are Curious, I Will Show You! — Jan Leusmann, Michael Gienger, et al. · IEEE Pervasive Computing (2025) | TGRS Research Map | TGRS