Title
Brain-inspired Bayesian perception for biomimetic robot touch
Abstract
Studies of decision making in animals suggest a neural mechanism of evidence accumulation for competing percepts according to Bayesian sequential analysis. This model of perception is embodied here in a biomimetic tactile sensing robot based on the rodent whisker system. We implement simultaneous perception of object shape and location using two psychological test paradigms: first, a free-response paradigm in which the agent decides when to respond, implemented with Bayesian sequential analysis; and second an interrogative paradigm in which the agent responds after a fixed interval, implemented with maximum likelihood estimation. A benefit of free-response Bayesian perception is that it allows tuning of reaction speed against accuracy. In addition, we find that large gains in decision performance are achieved with unforced responses that allow null decisions on ambiguous data. Therefore free-response Bayesian perception offers benefits for artificial systems that make them more animal-like in behavior.
Year
DOI
Venue
2012
10.1109/ICRA.2012.6224815
Robotics and Automation
Keywords
Field
DocType
Bayes methods,biomimetics,decision making,robots,tactile sensors,Bayesian sequential analysis,animals,artificial systems,biomimetic robot touch,biomimetic tactile sensing robot,brain-inspired Bayesian perception,decision making,evidence accumulation,free-response Bayesian perception,free-response paradigm,interrogative paradigm,maximum likelihood estimation,neural mechanism,psychological test paradigms
Biomimetics,Maximum likelihood,Embodied cognition,Artificial intelligence,Engineering,Artificial systems,Robot,Perception,Machine learning,Tactile sensor,Bayesian probability
Conference
Volume
Issue
ISSN
2012
1
1050-4729 E-ISBN : 978-1-4673-1404-6
ISBN
Citations 
PageRank 
978-1-4673-1404-6
4
0.47
References 
Authors
3
6
Name
Order
Citations
PageRank
Nathan F. Lepora123935.36
J. Charlie Sullivan281.07
Benjamin Mitchinson3867.90
Martin J. Pearson421526.34
Kevin N. Gurney544553.49
Tony J. Prescott614515.77