activity
20202025
most citedDigital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling

12 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MA2025★ 12 cited

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling

Bo Fu, Mingjie Bi, Shota Umeda +6

The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing sy…

cs.RO2023

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty

Bo Fu, Tribhi Kathuria, Denise Rizzo +4

This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. A simultaneous matching and routing problem (SMRP)…

cs.RO2022★ 5 cited

Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation

Bo Fu, William Smith, Denise Rizzo +3

This paper presents a learning framework to estimate an agent capability and task requirement model for multi-agent task allocation. With a set of team configurations and the corre…

cs.RO2022★ 6 cited

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty

Bo Fu, Tribhi Kathuria, Denise Rizzo +4

This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. In the proposed centralized multi-robot planner, a…

cs.RO2021★ 2 cited

Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty

Bo Fu, William Smith, Denise Rizzo +3

This paper develops a stochastic programming framework for multi-agent systems where task decomposition, assignment, and scheduling problems are simultaneously optimized. The frame…

cs.RO2020

Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty

Bo Fu, William Smith, Denise Rizzo +2

For robot swarms operating on complex missions in an uncertain environment, it is important that the decision-making algorithm considers both heterogeneity and uncertainty. This pa…