58 citations · 151 across the 6 of their papers we have counts for
6 papers
Task-Adaptive Robot Learning from Demonstration with Gaussian Process Models under Replication
Miguel Arduengo, Adrià Colomé, Júlia Borràs +2
Learning from Demonstration (LfD) is a paradigm that allows robots to learn complex manipulation tasks that can not be easily scripted, but can be demonstrated by a human teacher.…
Gaussian-Process-based Robot Learning from Demonstration
Miguel Arduengo, Adrià Colomé, Joan Lobo-Prat +2
Endowed with higher levels of autonomy, robots are required to perform increasingly complex manipulation tasks. Learning from demonstration is arising as a promising paradigm for t…
Human to Robot Whole-Body Motion Transfer
Miguel Arduengo, Ana Arduengo, Adrià Colomé +2
Transferring human motion to a mobile robotic manipulator and ensuring safe physical human-robot interaction are crucial steps towards automating complex manipulation tasks in huma…
Robust and Adaptive Door Operation with a Mobile Robot
Miguel Arduengo, Carme Torras, Luis Sentis
The ability to deal with articulated objects is very important for robots assisting humans. In this work, a framework to robustly and adaptively operate common doors, using an auto…
The Robot Economy: Here It Comes
Miguel Arduengo, Luis Sentis
Automation is not a new phenomenon, and questions about its effects have long followed its advances. More than a half-century ago, US President Lyndon B. Johnson established a nati…
An Architecture for Person-Following using Active Target Search
Minkyu Kim, Miguel Arduengo, Nick Walker +4
This paper addresses a novel architecture for person-following robots using active search. The proposed system can be applied in real-time to general mobile robots for learning fea…