Learning to fall: Designing low damage fall sequences for humanoid soccer robots

Ruiz del Solar, J; Palma-Amestoy, R; Marchant R.; Parra-Tsunekawa, I; Zegers, P

Abstract

A methodology for the analysis and design of fall sequences of robots that minimize joint/articulation injuries, and the damage of valuable body parts is proposed. These fall sequences can be activated/triggered by the robot in case of a detected unintentional fall or an intentional fall, which are common events in humanoid soccer environments. The methodology is human-based and requires the use of a realistic simulator as development tool. The obtained results show that fall sequences designed using the proposed method produce less damage than standard, uncontrolled falls. © 2009 Elsevier B.V. All rights reserved.

Más información

Título según WOS: Learning to fall: Designing low damage fall sequences for humanoid soccer robots
Título según SCOPUS: Learning to fall: Designing low damage fall sequences for humanoid soccer robots
Título de la Revista: ROBOTICS AND AUTONOMOUS SYSTEMS
Volumen: 57
Número: 8
Editorial: Elsevier
Fecha de publicación: 2009
Página de inicio: 796
Página final: 807
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0921889009000566
DOI:

10.1016/j.robot.2009.03.011

Notas: ISI, SCOPUS