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Loop | Guilherme Maeda
loop.frontiersin.org
Online optimal trajectory generation for robot table tennis. Okan Koç; Guilherme Maeda; Jan Peters. Robotics and Autonomous Systems. Published on 01 Jul ...
Search | arXiv e-print repository
128.84.21.199
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. Authors: Okan Koc, Guilherme Maeda, Jan Peters.
Intelligent Autonomous Systems 13: Proceedings of the 13th...
books.google.de
Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda and Jan Peters Abstract Learning to perform complex tasks out of a sequence of simple small demonstrations is a key ability for more flexible robots. In this paper, we present a system that allows for the acquisition of such task executions based on dynamical movement ...
[ ] Optimizing Execution of Dynamic Goal-Directed Robot...
arxiv.org
Title:Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. Authors:Okan Koc, Guilherme Maeda, Jan ...
dblp: Field and Service Robotics 2012
dblp.uni-trier.de
Bibliographic content of Field and Service Robotics 2012
A Probabilistic Framework for Semi-autonomous Robots Based on...
link.springer.com
This paper proposes an interaction learning method suited for semi-autonomous robots that work with or assist a human partner. The method aims at generating a...
Program – HFR in Genova
hfr2016.wordpress.com
Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov and Jan Peters: Proactive Human-Robot Collaboration with Interaction ...
Active Incremental Learning of Robot Movement Primitives - Inria
hal.inria.fr
Robots that can learn over time by interacting with non-technical users must be capable of acquiring new motor skills, incrementally. The problem then is...
Active Incremental Learning of Robot Movement Primitivesmlr.press › proceedings
proceedings.mlr.press
Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters ;. Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:37-46, ...
CiteSeerX — A Probabilistic Framework for Semi-Autonomous Robots...
citeseerx.ist.psu.edu
BibTeX. @MISC{Maeda_aprobabilistic, author = {Guilherme Maeda and Gerhard Neumann and Marco Ewerton and Rudolf Lioutikov and Guilherme Maeda and ...
Probabilistic Movement Primitives for Coordination of Multiple...
www.ri.cmu.edu
Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks. Guilherme Maeda , Gerhard Neumann, ...
2016 Robotics: Science and Systems
rss2016.engin.umich.edu
Texas A&M University. James MacGlashan. Brown University. Guilherme Maeda. TU Darmstadt, Max Planck. Nina Mahmoudian. Michigan Technological University, Virginia Tech. Nicolas Mansard. LAAS. Simon Manschitz. TU Darmstadt, Max Planck. Satyanarayana Manyam. AFRL, Air Force Research Lab. Matthew Marge.
Learning for Collaborative Robotics: Enabling Flexible, Redeployable...
mobilemanipulation.org
Guilherme Maeda (TU Darmstadt): Interaction Primitives for Collaborative Robotics; Abderrahmane Kheddar (CNRS): Humanoid Cobotics: ...
Manuel Lopes
web.tecnico.ulisboa.pt
... Rudolf Lioutikov, Guilherme Maeda, Yoan Mollard, Thibaut Munzer and Dadhichi Shukla. Workshop on Cognitive Robotics in Future Manufacturing Scenarios, ...
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Gerhard Neumann Manuel Lopes Baptiste Busch | Oliver Kroemer Marc Toussaint Rudolf Lioutikov |
Personen Vorname "Guilherme" (561) Name "Maeda" (117) |
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