3 accepted papers
This paper presents an iterative approach for heterogeneous multi-agent route planning in environments with unknown resource distributions. We focus on a team of robots with diverse capabilities tasked with executing missions specified using Capability Temporal Logic (CaTL), a formal framework built
This paper introduces an iterative approach to multi-agent route planning under chance constraints. A heterogeneous team of agents with various capabilities is tasked with a Capability Temporal Logic (CaTL) mission, a fragment of Signal Temporal Logic. The agents’ motion is modeled as a finite weigh…
Mobility-on-demand systems are transforming the way we think about the transportation of people and goods. Most research effort has been placed on scalability issues for systems with a large number of agents and simple pickup/drop-off demands. In this paper, we consider fair multi-vehicle route plan…