Dynamic Via-points and Improved Spatial Generalization for Online Trajectory Generation with Dynamic Movement Primitives

Dynamic Movement Primitives (DMP) have found remarkable applicability and success in various robotic tasks, which can be mainly attributed to their generalization, modulation and robustness properties. However, the spatial generalization of DMP can be problematic in some cases, leading to excessive...

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Vydáno v:Journal of intelligent & robotic systems Ročník 110; číslo 1; s. 24
Hlavní autoři: Sidiropoulos, Antonis, Doulgeri, Zoe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.03.2024
Springer Nature B.V
Témata:
Adaptation
Artificial Intelligence
Control
Electrical Engineering
Engineering
Incorporation
Kinematics
Mechanical Engineering
Mechatronics
Regular Paper
Robotics
Robots
Simulation
Trajectories
Dynamic movement primitives
Trajectory generation
Programming by demonstration
Via-points
ISSN:0921-0296, 1573-0409
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Shrnutí:Dynamic Movement Primitives (DMP) have found remarkable applicability and success in various robotic tasks, which can be mainly attributed to their generalization, modulation and robustness properties. However, the spatial generalization of DMP can be problematic in some cases, leading to excessive overscaling and in turn large velocities and accelerations. While other DMP variants have been proposed in the literature to tackle this issue, they can also exhibit excessive overscaling as we show in this work. Moreover, incorporating intermediate points (via-points) for adjusting the DMP trajectory to account for the geometry of objects related to the task, or to avoid or push aside objects that obstruct a specific task, is not addressed by the current DMP literature. In this work we tackle these unresolved so far issues by proposing an improved online spatial generalization, that remedies the shortcomings of the classical DMP generalization, and moreover allows the incorporation of dynamic via-points. This is achieved by designing an online adaptation scheme for the DMP weights which is proved to minimize the distance from the demonstrated acceleration profile to retain the shape of the demonstration, subject to dynamic via-point and initial/final state constraints. Extensive comparative simulations with the classical and other DMP variants are conducted, while experimental results validate the practical usefulness and efficiency of the proposed method.
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ISSN:0921-0296
1573-0409
DOI:10.1007/s10846-024-02051-0