Description
In this paper, we present an approach to designing decentralized robot control policies that mimic certain microscopic and macroscopic behaviors of ants performing collective transport tasks. In prior work, we used a stochastic hybrid system model to characterize the observed team dynamics of ant group retrieval of a rigid load.
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Contributors
- Wilson, Sean (Author)
- Pavlic, Theodore (Author)
- Kumar, Ganesh (Author)
- Buffin, Aurelie (Author)
- Pratt, Stephen (Author)
- Berman, Spring (Author)
- Ira A. Fulton Schools of Engineering (Contributor)
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2014-12-01
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Identifier
- Digital object identifier: 10.1007/s11721-014-0100-8
- Identifier TypeInternational standard serial numberIdentifier Value1935-3812
- Identifier TypeInternational standard serial numberIdentifier Value1935-3820
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- This is the authors' final accepted manuscript. The final publication is available at http://dx.doi.org/10.1007/s11721-014-0100-8, opens in a new window
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Wilson, Sean, Pavlic, Theodore P., Kumar, Ganesh P., Buffin, Aurelie, Pratt, Stephen C., & Berman, Spring (2014). Design of ant-inspired stochastic control policies for collective transport by robotic swarms. SWARM INTELLIGENCE, 8(4), 303-327. http://dx.doi.org/10.1007/s11721-014-0100-8