Automated Robot Skill Learning from Demonstration for Various Robot Systems

2019 ◽  
pp. 168-181 ◽  
Author(s):  
Lisa Gutzeit ◽  
Alexander Fabisch ◽  
Christoph Petzoldt ◽  
Hendrik Wiese ◽  
Frank Kirchner
Keyword(s):  
Skill Learning ◽  
Learning From Demonstration ◽  
Robot Systems

scholarly journals A Dataset Schema for Cooperative Learning from Demonstration in Multi-robot Systems

2019 ◽  
Vol 99 (3-4) ◽  
pp. 589-608 ◽  
Author(s):  
Marco A. C. Simões ◽  
Robson Marinho da Silva ◽  
Tatiane Nogueira
Keyword(s):  
Cooperative Learning ◽  
Learning From Demonstration ◽  
Robot Systems ◽  
Multi Robot

scholarly journals Multiform Adaptive Robot Skill Learning From Humans

2017 ◽  
Author(s):  
Leidi Zhao ◽  
Raheem Lawhorn ◽  
Siddharth Patil ◽  
Steve Susanibar ◽  
Lu Lu ◽  
...  
Keyword(s):  
Skill Acquisition ◽  
Adaptive Learning ◽  
Basic Element ◽  
Skill Learning ◽  
Human Robot Interaction ◽  
Robotic Manipulation ◽  
Learning From Demonstration ◽  
Critical Skills ◽  
Soft Objects ◽  
Time Critical

Object manipulation is a basic element in everyday human lives. Robotic manipulation has progressed from maneuvering single-rigid-body objects with firm grasping to maneuvering soft objects and handling contact-rich actions. Meanwhile, technologies such as robot learning from demonstration have enabled humans to intuitively train robots. This paper discusses a new level of robotic learning-based manipulation. In contrast to the single form of learning from demonstration, we propose a multiform learning approach that integrates additional forms of skill acquisition, including adaptive learning from definition and evaluation. Moreover, going beyond state-of-the-art technologies of handling purely rigid or soft objects in a pseudo-static manner, our work allows robots to learn to handle partly rigid partly soft objects with time-critical skills and sophisticated contact control. Such capability of robotic manipulation offers a variety of new possibilities in human-robot interaction.

The associative-memory basis of cognitive skill learning: Adult age differences.

2006 ◽  
Vol 21 (3) ◽  
pp. 483-498 ◽  
Author(s):  
John Cerella ◽  
Serge V. Onyper ◽  
William J. Hoyer
Keyword(s):  
Associative Memory ◽  
Age Differences ◽  
Cognitive Skill ◽  
Skill Learning ◽  
Adult Age ◽  
Adult Age Differences ◽  
Cognitive Skill Learning

The Effect of Aimed Movements in Sequenced Motor Skill Learning Motor Skill Acquisition Using Aiming and the SRTT

2008 ◽  
Author(s):  
Michelle V. Thompson ◽  
Janet L. Utschig ◽  
Mikaela K. Vaughan ◽  
Marc V. Richard ◽  
Benjamin A. Clegg
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Motor Skill Acquisition

A Review on Various Methodologies for AC Duct Cleaning

2020 ◽  
Vol 07 (3&4) ◽  
pp. 1-5
Author(s):  
Soyab A Jamadar ◽  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Health Issues ◽  
Conventional System ◽  
Rectangular Shape ◽  
Inspection Robot ◽  
Different Types ◽  
Robot Systems ◽  
Articulated Robot

Cleaning of the AC ducts is the need because it creates problems such as the bad indoor air quality which results in health issues and it also causes the large maintenance of the system. The uncleaned air ducts become home for fungi, dust and harmful microbial. The causes and effects of this thing are mentioned following. The AC ducts can be cleaned through various methodologies i.e. conventional and by using robots. In the conventional system, there is manual cleaning by using some equipment. Cleaning the ducts by using robots would be a good solution for this. Different types of robot systems i.e. crawling robot, articulated robot and inspection robot are deployed for the application. There are different types of robots and their equipment according to size and type of duct. The cleaning of rectangular shape ducts is quite difficult than others. Finally, it results that cleaning ducts is the most important thing and using robots is the best methodology for it.

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