Project-based learning unit: Kinematics and object grasping in humanoid robotics

Dederichs-Koch, Andrea; Zwiers, Ulrike

doi:10.1109/rem.2015.7380396

Search citation statements

Order By: Relevance

Paper Sections

Select...

Related Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the use of robotics in project-based education needs to be noted as well. Several works in the literature [35][36][37][38] described the application of educational robots in project-based teaching, and the results of the works were positive.…”

Section: Related Workmentioning

confidence: 99%

Emotion Recognition in Human–Robot Interaction Using the NAO Robot

et al. 2022

View full text Add to dashboard Cite

Affective computing can be implemented across many fields in order to provide a unique experience by tailoring services and products according to each person’s needs and interests. More specifically, digital learning and robotics in education can benefit from affective computing with a redesign of the curriculum’s contents based on students’ emotions during teaching. This key feature is observed during traditional learning methods, and robot tutors are adapting to it gradually. Following this trend, this work focused on creating a game that aims to raise environmental awareness by using the social robot NAO as a conversation agent. This quiz-like game supports emotion recognition with DeepFace, allowing users to review their answers if a negative emotion is detected. A version of this game was tested during real-life circumstances and produced favorable results, both for emotion analysis and overall user enjoyment.

show abstract

Section: Related Workmentioning

confidence: 99%