Title
Fall detection and management in biped humanoid robots
Abstract
The appropriate management of fall situations - i.e. fast instability detection, avoidance of unintentional falls, falling without damaging the body, fast recovering of the standing position after a fall - is an essential ability of biped humanoid robots. This issue is especially important for humanoid robots carrying out demanding movements such as walking in irregular surfaces, running or practicing a given sport (e.g. soccer). In a former contribution we have addressed the design of low-damage fall sequences, which can be activated/triggered by the robot in case of a detected unintentional fall or an intentional fall (common situation in robot soccer). In this article we tackle the detection of instability and the avoidance of falls in biped humanoids, as well as the integration of all components in a single framework. In this framework a fall can be avoided or a falling sequence can be triggered depending on the detected instability's degree. The proposed fall detection and fall avoidance subsystems are validated in real world-experiments with biped humanoid robots.
Year
DOI
Venue
2010
10.1109/ROBOT.2010.5509550
Robotics and Automation
Keywords
Field
DocType
humanoid robots,legged locomotion,biped humanoid robots,fall detection,fall management,running,walking
Simulation,Control engineering,Engineering,Robot,Hidden Markov model,Humanoid robot
Conference
ISSN
ISBN
Citations 
1050-4729 E-ISBN : 978-1-4244-5040-4
978-1-4244-5040-4
6
PageRank 
References 
Authors
0.46
0
5
Name
Order
Citations
PageRank
Javier Ruiz-del-Solar1865105.92
Javier Moya271.84
Isao Parra-Tsunekawa371.16
Javier Ruiz del Solar414212.23
Parra-Tsunekawa, I.560.46