2011 IEEE/RSJ International Conference on Intelligent Robots and Systems 2011
DOI: 10.1109/iros.2011.6048817
|View full text |Cite
|
Sign up to set email alerts
|

Modeling mutual capabilities in heterogeneous teams for role assignment

Abstract: We have developed a novel type of submersible called a Synergistically Propelled Ichthyoid [SPI] which is propelled by the combined jet action and oscillatory motion of a fluttering fluid-conveying tail. Two dynamic models for an SPI are presented and solved. An analytically tractable model presented in a previous work which assumes a submersible at constant velocity has been included as a reference point. A more complex model in a general planar reference frame is also presented and is solved numerically. The… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 8 publications
0
3
0
Order By: Relevance
“…If such a decomposition exists, the task decomposition problem is presolved and decoupled from the assignment and scheduling problem. Many previous works in coalition formation [18], vehicle routing [14], [19], job shop scheduling [20]- [22], and robotic soccer games [23], [24] deal with such non-complex (or compound) tasks. In [19], the tasks are decomposed into roles for medical agents and transport agents while connected with scheduling constraints.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…If such a decomposition exists, the task decomposition problem is presolved and decoupled from the assignment and scheduling problem. Many previous works in coalition formation [18], vehicle routing [14], [19], job shop scheduling [20]- [22], and robotic soccer games [23], [24] deal with such non-complex (or compound) tasks. In [19], the tasks are decomposed into roles for medical agents and transport agents while connected with scheduling constraints.…”
Section: Related Workmentioning
confidence: 99%
“…Each MDP is solved beforehand, and jointly the probability of completing the tasks is maximized. In [23], [24], [43], an agent's capabilities are represented as a Gaussian random vector where the uncertainty is captured in the distribution. A task requirement is then specified by the minimum value needed for each capability type.…”
Section: Related Workmentioning
confidence: 99%
“…Other research includes Jones et al's (2006) research on pickup teams cooperating to accomplish a treasure hunt. Liemhetcharat and Veloso (2011) reason about selecting agents for ad hoc teams, and in robot soccer, Bowling and McCracken (2005) consider the case where the ad hoc agent is given a different playbook from its teammates. Further work into ad hoc teams using stage games and biased adaptive play was performed by Wu et al (2011).…”
Section: Related Workmentioning
confidence: 99%