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Recent Advances in Robot Learning from Demonstration

Human-Machine Interface for Remote Training of Robot Tasks.

Learning Movement Assessment Primitives for Force Interaction Skills

Multi-Task Gaussian Process Movement Primitives for Kinesthetic Teaching

Online Multi-task Learning of Robotic Manipulators Dynamics Models with Echo-State Networks

Survey of Model-Based Reinforcement Learning: Applications on Robotics

Online Learning of Industrial Manipulators’ Dynamics Models

Online multi-target learning of inverse dynamics models for computed-torque control of compliant manipulators

SkiROS—A Skill-Based Robot Control Platform on Top of ROS

Global Localization for Future Space Exploration Rovers

Accurate and versatile automation of industrial kitting operations with SkiROS,

A reservoir computing approach for learning forward dynamics of industrial manipulators

Real-time deep learning of robotic manipulator inverse dynamics

Advantages and Limitations of Reservoir Computing on Model Learning for Robot Control

A Roadmap Towards Intelligent and Autonomous Object Manipulation for Assembly Tasks

Internal Models for Self-Organized Robotic Behavior.

Towards an Intelligent Robotic Manipulator for Industrial Object-placing Tasks

Effect of Internal Models on Homeokinetic Controlled Autonomous Robots

Towards Hebbian learning of fuzzy cognitive maps in pattern classification problems

Training fuzzy cognitive maps by using hebbian learning algorithms: a comparative study

Learning Fuzzy Cognitive Maps by Using Hebbian Learning Algorithms in System Modeling and Pattern Recognition

Evolutionary feature subset selection for pattern recognition applications

Jupyter notebook markdown generator