Results 31 to 40 of about 42,816 (266)
Workshop on Robots for Learning [PDF]
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017 While robots have been popular as a tool for STEM teaching, the use of robots in other learning scenarios is novel. The field of HRI has started to report on how to make effective robots usable in educational contexts. However, many challenges remain. For instance, which interaction strategies aid learning, and which hamper learning?
Wafa Johal +9 more
openaire +2 more sources
IEEE Access, 2022 Recently, motion generation by machine learning has been actively researched to automate various tasks. Imitation learning is one such method that learns motions from data collected in advance.
Kazuki Hayashi +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
Frontiers in Robotics and AIResearch on social assistive robots in education faces many challenges that extend beyond technical issues. On one hand, hardware and software limitations, such as algorithm accuracy in real-world applications, render this approach difficult for daily ...
Daniel C. Tozadore +2 more
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Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
IEEE Access, 2021 As deep learning continues to dominate all state-of-the-art computer vision tasks, it is increasingly becoming an essential building block for robotic perception.
Quazi Marufur Rahman +2 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
The curious robot - Structuring interactive robot learning [PDF]
2009 IEEE International Conference on Robotics and Automation, 2009 If robots are to succeed in novel tasks, they must be able to learn from humans. To improve such human-robot interaction, a system is presented that provides dialog structure and engages the human in an exploratory teaching scenario. Thereby, we specifically target untrained users, who are supported by mixed-initiative interaction using verbal and non ...
Lütkebohle, Ingo +6 more
openaire +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
A Formalism for Learning from Demonstration*
Paladyn, 2010 The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstration (LFD), a common learning technique used in robotics.
Billing Erik A., Hellström Thomas
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Generalization-Based Acquisition of Training Data for Motor Primitive Learning by Neural Networks
Applied Sciences, 2021 Autonomous robot learning in unstructured environments often faces the problem that the dimensionality of the search space is too large for practical applications.
Zvezdan Lončarević +3 more
doaj +1 more source