Programmable self-assembly in a thousand-robot swarm
By Michael Rubenstein, Alejandro Cornejo, Radhika Nagpal. Science, 2014
1,254 citations recorded by the source corpus.
Subfields: Computer Science Applications, Condensed Matter Physics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/c5ab840850ab57f2f14b67a5485fa3fd727b33b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
- Charles Reichhardt
- M. Cristina Marchetti
- V. Vitelli
- Hartmut Löwen
- R. Di Leonardo
- Giorgio Volpe
- Suraj Shankar
- Anton Souslov
In Mechanical Engineering
- Anton Souslov
- M. Cristina Marchetti
- M. Bowick
- Hartmut Löwen
- T. K. Satish Kumar
- R. Di Leonardo
- Sven Koenig
- Charles Reichhardt
Citations in the corpus
- Swarm Robotics: Past, Present, and Future (2021, background): “Kilobots were conceived to support the first demonstration of a large robot swarm designed for shape formation [31] and have been later used for several successful studies, allowing swarm robotics to be demonstrated in physical settings with hundreds of robots [32]–[34].”
- PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning (2018, background): “Given the rapid development of affordable robots with embedded sensing and computation capabilities, manufacturing applications will soon regularly involve the deployment of thousands of robots [1], [2].”
- Active Particles in Complex and Crowded Environments (2016, background): “t al., 2013; Palacci et al., 2013), they still consider only one kind of microswimmer at a time. Nevertheless, we know from recent experiments in robotics (Halloy et al., 2007; Mijalkov et al., 2016; Rubenstein et al., 2014; Volpe and Wehr, 2016) and biology (Gravish et al., 2015; Tennenbaum et al.,”
- Topological active matter (2020, background): “The field of active matter is partly motivated by the aim of bringing living systems into the scope of condensed matter physics [29–31], and yet the field now boasts a wide variety of inanimate and synthetic experimental realizations ranging from self-propelled colloids [32, 33] and vibrated grains ”
- Swarm Robotic Behaviors and Current Applications (2020, methodology): “In later work, Rubenstein et al. (2014b) demonstrate this on a large swarm of physical robots as described above.”