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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05747-8
Abstract: In this paper, composite dynamic movement primitives (DMPs) based on radial basis function neural networks (RBFNNs) are investigated for robots’ skill learning from human demonstrations. The composite DMPs could encode the position and orientation manipulation…
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Keywords:
movement primitives;
composite dynamic;
neural networks;
human robot ... See more keywords
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Published in 2019 at "Robotica"
DOI: 10.1017/s026357471900078x
Abstract: Summary In this paper, we propose and implement an advanced manipulation framework that enables parametric learning of complex action trajectories along with their haptic feedback profiles. Our framework extends Dynamic Movement Primitives (DMPs) method with…
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Keywords:
movement primitives;
movement;
feedback;
force feedback ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2905051
Abstract: Human’s interference in the process of skill learning can improve the performance of the robot greatly. However, learning from demonstration to generate a new action with human behavioral characteristics in the varying situation is challenging.…
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Keywords:
movement primitives;
method;
generalization;
dynamic movement ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3154469
Abstract: Endowing robots with human-like abilities to perform motor skills smoothly and naturally is one of the important goals of robotics. Learning from demonstration (LfD) has been successfully applied for learning tasks on robots, for which…
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Keywords:
movement;
robotics;
movement primitives;
dynamic movement ... See more keywords
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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3141460
Abstract: This paper presents an approach that generates the overall trajectory of mobile manipulators for a complex mission consisting of several sub-tasks. Parametric dynamic movement primitives (PDMPs) can quickly generalize the online motion of robot manipulation…
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Keywords:
parametric dynamic;
movement primitives;
dynamic movement;
mission ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3158029
Abstract: Dynamic movement primitives (DMPs) have been widely applied in robot motion planning and control. However, in some special cases, original discrete DMP fails to generalize proper trajectories. Moreover, it is difficult to produce trajectories on…
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Keywords:
movement primitives;
dynamic movement;
control;
force ... See more keywords
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Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2852711
Abstract: This paper proposes an enhanced robot skill learning system considering both motion generation and trajectory tracking. During robot learning demonstrations, dynamic movement primitives (DMPs) are used to model robotic motion. Each DMP consists of a…
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Keywords:
movement primitives;
learning system;
robot learning;
dynamic movement ... See more keywords
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Published in 2017 at "British Journal of Sports Medicine"
DOI: 10.1136/bjsports-2017-anklesymp.71
Abstract: Study Design Systematic Review. Objectives To determine if individuals with chronic ankle instability (CAI) exhibit maladaptive kinematic and kinetic patterns during dynamic movement tasks. Background Research suggests that high rates of recurrent lateral ankle sprain…
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Keywords:
movement tasks;
ankle instability;
movement;
dynamic movement ... See more keywords