A hierarchical coordination framework for joint perception-action tasks in composite robot teams
We propose a collaborative planning and control algorithm to enhance cooperation for
composite teams of autonomous robots in dynamic environments. Composite robot teams …
composite teams of autonomous robots in dynamic environments. Composite robot teams …
Robust task scheduling for heterogeneous robot teams under capability uncertainty
This article develops a stochastic programming framework for multiagent systems, where
task decomposition, assignment, and scheduling problems are simultaneously optimized …
task decomposition, assignment, and scheduling problems are simultaneously optimized …
Commanding cooperative ugv-uav with nested vehicle routing for emergency resource delivery
W Gao, J Luo, W Zhang, W Yuan, Z Liao - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) have been
widely used in delivery. In the context of the COVID-2019, in order to control the …
widely used in delivery. In the context of the COVID-2019, in order to control the …
Human-robot matching and routing for multi-robot tour guiding under time uncertainty
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 …
environment with uncertainty, such as a museum. A simultaneous matching and routing …
Routing problem for unmanned aerial vehicle patrolling missions-a progressive hedging algorithm
The paper presents a two-stage stochastic program to model a routing problem involving an
Unmanned Aerial Vehicle (UAV) in the context of patrolling missions. In particular, given a …
Unmanned Aerial Vehicle (UAV) in the context of patrolling missions. In particular, given a …
Neuroswarm: Multi-agent neural 3d scene reconstruction and segmentation with uav for optimal navigation of quadruped robot
I Zhura, D Davletshin, NDW Mudalige… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Quadruped robots have the distinct ability to adapt their body and step height to navigate
through cluttered environments. Nonetheless, for these robots to utilize their full potential in …
through cluttered environments. Nonetheless, for these robots to utilize their full potential in …
Simultaneous human-robot matching and routing for multi-robot tour guiding under time uncertainty
B Fu, T Kathuria, D Rizzo… - Journal of …, 2021 - asmedigitalcollection.asme.org
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 …
environment with uncertainty, such as a museum. In the proposed centralized multi-robot …
[HTML][HTML] Unmanned Aerial Vehicle Inspection Routing and Scheduling for Engineering Management
Technological advancements in unmanned aerial vehicles (UAVs) have revolutionized
various industries, enabling the widespread adoption of UAV-based solutions. In …
various industries, enabling the widespread adoption of UAV-based solutions. In …
Heterogeneous vehicle routing and teaming with gaussian distributed energy uncertainty
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 paper …
that the decision-making algorithm considers both heterogeneity and uncertainty. This paper …
[HTML][HTML] Efficient algorithms for electric vehicles' min-max routing problem
An increase in greenhouse gases emission from the transportation sector has led
companies and the government to elevate and support the production of electric vehicles …
companies and the government to elevate and support the production of electric vehicles …