This paper presents a simple decentralised morphology control mechanism for a swarm of self-assembling robots. Each robot in the system is fully autonomous and controlled using a behaviour-based approach with only infrared-based local sensing and communications. A graph-based recruitment strategy is proposed to guide the growth of 2D planar organisms, and local communications are used to self-organise the behaviours of robots during the morphogenesis process. The effectiveness of the approach has been verified, in simulation, for a diverse set of target structures. © 2010 Springer-Verlag Berlin Heidelberg
Meng Y, Guo H, Jin Y. A morphogenetic approach to flexible and robust shape formation for swarm robo...
Abstract—We introduce enhanced directional self-assembly (EDSA) – a novel mechanism for morphology ...
In this paper, we study a heterogeneous robot team com-posed of self-assembling robots and aerial ro...
This paper presents a simple decentralised morphology control mechanism for a swarm of self-assembli...
Abstract—In this paper, we report on ongoing work on SWARMORPH which is a novel distributed mecha-ni...
Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variet...
Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, d...
Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, d...
Morphogenetic engineering aims to achieve functional, self-organized but controllable structures in ...
Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variet...
The study of self-assembling robots represents a promising strand within the emerging field of modul...
Guo H, Meng Y, Jin Y. Swarm robot pattern formation using a morphogenetic multi-cellular based self-...
Jin Y, Meng Y, Guo H. A morphogenetic self-organization algorithm for swarm robotic systems using re...
Swarm robotics is the collaboration of a large number of robots to accomplish a set of specified tas...
Guo H, Meng Y, Jin Y. Analysis of local communication load in shape formation of a distributed morph...
Meng Y, Guo H, Jin Y. A morphogenetic approach to flexible and robust shape formation for swarm robo...
Abstract—We introduce enhanced directional self-assembly (EDSA) – a novel mechanism for morphology ...
In this paper, we study a heterogeneous robot team com-posed of self-assembling robots and aerial ro...
This paper presents a simple decentralised morphology control mechanism for a swarm of self-assembli...
Abstract—In this paper, we report on ongoing work on SWARMORPH which is a novel distributed mecha-ni...
Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variet...
Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, d...
Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, d...
Morphogenetic engineering aims to achieve functional, self-organized but controllable structures in ...
Morphogenesis allows millions of cells to self-organize into intricate structures with a wide variet...
The study of self-assembling robots represents a promising strand within the emerging field of modul...
Guo H, Meng Y, Jin Y. Swarm robot pattern formation using a morphogenetic multi-cellular based self-...
Jin Y, Meng Y, Guo H. A morphogenetic self-organization algorithm for swarm robotic systems using re...
Swarm robotics is the collaboration of a large number of robots to accomplish a set of specified tas...
Guo H, Meng Y, Jin Y. Analysis of local communication load in shape formation of a distributed morph...
Meng Y, Guo H, Jin Y. A morphogenetic approach to flexible and robust shape formation for swarm robo...
Abstract—We introduce enhanced directional self-assembly (EDSA) – a novel mechanism for morphology ...
In this paper, we study a heterogeneous robot team com-posed of self-assembling robots and aerial ro...