4 papers
A Micro-Macro Model of Encounter-Driven Information Diffusion in Robot Swarms
Davis S. Catherman, Carlo Pinciroli
In this paper, we propose the problem of Encounter-Driven Information Diffusion (EDID). In EDID, robots are allowed to exchange information only upon meeting. Crucially, EDID assum…
BayesCPF: Enabling Collective Perception in Robot Swarms with Degrading Sensors
Khai Yi Chin, Carlo Pinciroli
The collective perception problem -- where a group of robots perceives its surroundings and comes to a consensus on an environmental state -- is a fundamental problem in swarm robo…
Adaptive Self-Calibration for Minimalistic Collective Perception by Imperfect Robot Swarms
Khai Yi Chin, Carlo Pinciroli
Collective perception is a fundamental problem in swarm robotics, often cast as best-of- decision-making. Past studies involve robots with perfect sensing or with small numbers…
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
Chao Huang, Wenshuo Zang, Carlo Pinciroli +4
Compared with single robots, Multi-Robot Systems (MRS) can perform missions more efficiently due to the presence of multiple members with diverse capabilities. However, deploying a…