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Supervised morphogenesis: exploiting morphological flexibility of self-assembli...

Mathews, N.; Christensen, A. L.; Stranieri, A.; Scheidler, A.; Dorigo, M.

Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, due to the simplicity in their hardware makeup and their limited perspective of the environment, self-assembling robots are often not able to reach their potential and adapt their morphologies to tasks or environments without external cues or prior information. In this paper, we present supervised morphogenesis — ...

Date: 2019   |   Origin: Repositório ISCTE

Mergeable nervous systems for robots

Mathews, N.; Christensen, A. L.; O’Grady, R.; Mondada, F.; Dorigo, M.

Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots have only been able to display a limited range of hardwired behaviors because they rely solely on distributed cont...

Date: 2017   |   Origin: Repositório ISCTE

Spatially targeted communication in decentralized multirobot systems

Mathews, N.; Valentini, G.; Christensen, A. L.; O'Grady, R.; Brutschy, A.; Dorigo, M.

Spatially targeted communication (STC) allows a message sender to choose message recipients based on their location in space. Currently, STC in multirobot systems is limited to centralized systems. In this paper, we propose a novel communication protocol that enables STC in decentralized multirobot systems. The proposed protocol dispenses with the many aspects that underpin previous approaches, including extern...

Date: 2015   |   Origin: Repositório ISCTE

Swarmanoid: A novel concept for the study of heterogeneous robotic swarms

Dorigo, M.; Floreano, D.; Gambardella, L. M.; Mondada, F.; Nolfi, S.; Baaboura, T.; Birattari, M.; Bonani, M.; Brambilla, M.; Brutschy, A.; Burnier, D.

Swarm robotics systems are characterized by decentralized control, limited communication between robots, use of local information, and emergence of global behavior. Such systems have shown their potential for flexibility and robustness [1]-[3]. However, existing swarm robotics systems are by and large still limited to displaying simple proof-of-concept behaviors under laboratory conditions. It is our contention...

Date: 2013   |   Origin: Repositório ISCTE

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