PofoliaShared via Pofolia

Neural Computation· 2012Q1

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

Auke Jan Ijspeert, Jun Nakanishi, H. Hoffmann, Peter Pástor et al.

Short summary

Dynamical Movement Primitives (DMPs) learn attractor models for motor behaviors by transforming simple dynamical systems into weakly nonlinear ones with prescribed attractor dynamics via a learnable forcing term.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Statistical and Nonlinear Physics

Statistical and Nonlinear PhysicsPhysics and Astronomy