Work

Learning to Play Mini-Golf from Human Demonstration using Autonomous Dynamical Systems

Year: 2011

Type: article

Abstract: We present a new formulation for autonomous(i.e. time-independent) Dynamical Systems (DS) to perform discrete robot motions with non-zero velocity at a given target. The proposed model ensures the convergence of all trajectories to the target, and is inherently robust to perturbations. We evaluated the performance of our proposed method to control right-handed swings in mini-golf. 1.

Source: Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Authors: Seyed Mohammad Khansari-Zadeh, Aude Billard

Institution: École Polytechnique Fédérale de Lausanne

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, FP7 Information and Communication Technologies

Awards: G2203972493, Adaptive Modular Architecture for Rich Motor Skills

OpenAlex ID: W1542535444

FWCI: 0.525

Cites: 4

Cited by: 2

Related to: 10