Movement generalization of variable initial task state based on Euclidean transformation dynamical movement primitives

Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery

(2021) Hang Su et al.   IEEE Transactions on Automation Science and Engineering

A Smartphone-Based Adaptive Recognition and Real-Time Monitoring System for Human Activities

(2020) Wen Qi et al.   IEEE Transactions on Human-Machine Systems

Probabilistic movement primitives under unknown system dynamics

(2018) Alexandros Paraschos et al.   ADVANCED ROBOTICS

Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction

(2018) Riccardo Caccavale et al.   AUTONOMOUS ROBOTS

Learning task-parameterized dynamic movement primitives using mixture of GMMs

(2017) Affan Pervez et al.   Intelligent Service Robotics

Learning Compliant Movement Primitives Through Demonstration and Statistical Generalization

(2016) Miha Denisa et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A tutorial on task-parameterized movement learning and retrieval

(2015) Sylvain Calinon   Intelligent Service Robotics

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

(2012) Auke Jan Ijspeert et al.   NEURAL COMPUTATION

On-line motion synthesis and adaptation using a trajectory database

(2012) Denis Forte et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Rotations with Rodrigues’ vector

(2011) E Piña   EUROPEAN JOURNAL OF PHYSICS

Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models

(2011) S. Mohammad Khansari-Zadeh et al.   IEEE Transactions on Robotics

Joining Movement Sequences: Modified Dynamic Movement Primitives for Robotics Applications Exemplified on Handwriting

(2011) Tomas Kulvicius et al.   IEEE Transactions on Robotics

Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives

(2010) Aleš Ude et al.   IEEE Transactions on Robotics

Statistical Learning by Imitation of Competing Constraints in Joint Space and Task Space

(2009) Sylvain Calinon et al.   ADVANCED ROBOTICS