2006
DOI: 10.1007/11613022_5
|View full text |Cite
|
Sign up to set email alerts
|

Robot Control: From Silicon Circuitry to Cells

Abstract: Abstract. Life-like adaptive behaviour is so far an illusive goal in robot control. A capability to act successfully in a complex, ambiguous, and harsh environment would vastly increase the application domain of robotic devices. Established methods for robot control run up against a complexity barrier, yet living organisms amply demonstrate that this barrier is not a fundamental limitation. To gain an understanding of how the nimble behaviour of organisms can be duplicated in made-for-purpose devices we are ex… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2008
2008
2017
2017

Publication Types

Select...
5
5

Relationship

2
8

Authors

Journals

citations
Cited by 24 publications
(16 citation statements)
references
References 22 publications
0
16
0
Order By: Relevance
“…Mechanisms of coordination discovered in social insect colonies have provided models for humanengineered systems in computing and robotics, because in both kinds of systems there is a need for reliable, robust decisionmaking based on simple interactions among components (e.g., Bonabeau and Meyer, 2001;Tsuda et al, 2006) Also, recent discoveries in decision-making mechanisms of vertebrate brains and swarms of honey bees have revealed striking parallels in their mechanisms (Passino et al, 2008;Marshall et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Mechanisms of coordination discovered in social insect colonies have provided models for humanengineered systems in computing and robotics, because in both kinds of systems there is a need for reliable, robust decisionmaking based on simple interactions among components (e.g., Bonabeau and Meyer, 2001;Tsuda et al, 2006) Also, recent discoveries in decision-making mechanisms of vertebrate brains and swarms of honey bees have revealed striking parallels in their mechanisms (Passino et al, 2008;Marshall et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…This type of mesoscopic constraint could characterize the behavior and adaptive network of Physarum, and understanding this idea requires biologically motivated computing and/or unconventional computing. While the logical gate implemented by the Physarum works normally with 70-80% correct rate, an incomplete action positively contributes to a robust logical gate (Tsuda et al, 2004(Tsuda et al, , 2006. Because the Physarum always continues to destroy and repair the logical gate, it can repair the normal operation of logical gate even if that gate is destroyed in a term of hard matter.…”
Section: Introductionmentioning
confidence: 96%
“…This would be useful in the design of computing architectures, geometric calculations (work has been done in this area see for example) and robotic controllers. Taking the last example, in previous work by Tsuda and co-workers they designed various P. polycephalum based chips which could be used for the offline and online control of mobile robots [28][29][30] . The simple but elegant concept behind the chip was to interface the plasmodium directly to an impedance measurement circuit which measured its movement within a confined space.…”
Section: Resultsmentioning
confidence: 99%