Title
A Robust Statistical Collision Detection Framework for Quadruped Robots
Abstract
In order to achieve its tasks in an effective manner, an autonomous mobile robot must be able to detect and quickly recover from collisions. This paper proposes a new solution to the problem of detecting collisions during omnidirectional motion of a quadruped robot equipped with an internal accelerometer. We consider this as an instance of general signal processing and statistical anomaly detection problems. We find that temporal accelerometer readings examined in the frequency domain are good indicators of regularities (normal motion) and novel situations (collisions). In the course of time, the robot builds a probabilistic model that captures its proprioceptive properties while walking without obstruction and uses that model to determine whether there is an abnormality in the case of an unfamiliar pattern. The approach does not depend on walk characteristics and the walking algorithm used, and is insensitive to the surface texture that the robot walks on as long as the surface is flat. The experiments demonstrate quite fast and successful detection of collisions independent of the point of contact with an acceptably low false positive rate.
Year
DOI
Venue
2008
10.1007/978-3-642-02921-9_13
RoboCup 2008: Robot Soccer World Cup XII
Keywords
Field
DocType
quadruped robots,probabilistic model,robust statistical collision detection,surface texture,normal motion,successful detection,internal accelerometer,temporal accelerometer reading,quadruped robot,omnidirectional motion,autonomous mobile robot,statistical anomaly detection problem,false positive rate,anomaly detection,signal processing,robust statistics,frequency domain,collision detection
Frequency domain,Computer vision,Anomaly detection,Collision detection,Simulation,Computer science,Accelerometer,Legged robot,Artificial intelligence,Statistical model,Robot,Mobile robot
Conference
Volume
ISSN
Citations 
5399
0302-9743
2
PageRank 
References 
Authors
0.45
10
3
Name
Order
Citations
PageRank
Tekin Meriçli1456.06
Çetin Meriçli2568.55
H. Levent Akin314621.98