A dynamic heterogeneous team-based non-iterative approach for online pick-up and just-in-time delivery problems

S Velhal, M Bharatheesha, S Sundaram - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents a non-iterative approach for finding the assignment of heterogeneous
robots to efficiently execute online Pickup and Just-In-Time Delivery (PJITD) tasks with …

A multi-robot task allocation algorithm based on universal gravity rules

M Soleimanpour-moghadam… - International Journal of …, 2021 - Springer
In this paper, a new multi-robot task allocation (MRTA) algorithm inspired by the Newtonian
law of gravity is proposed. In the proposed method, targets and robots are considered as …

Self-adaptive coordination for fuel-constrained robot teams with periodic and aperiodic communications

M Kenzin, I Bychkov… - Proceedings of the …, 2022 - journals.sagepub.com
This paper introduces a novel mission-planning scheme to coordinate a heterogeneous
team of mobile robots under fuel and communication constraints. The proposed scheme has …

Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots using Covariant Attention Neural Networks

S Paul, S Chowdhury - Journal of Computing and …, 2024 - asmedigitalcollection.asme.org
In various applications of multi-robotics in disaster response, warehouse management, and
manufacturing, tasks that are known apriori and tasks added during runtime need to be …

Multi-robot path planning for cooperative 3d printing

S Elagandula, L Poudel, Z Sha… - International …, 2020 - asmedigitalcollection.asme.org
Abstract Cooperative 3D printing (C3DP) is an emerging technology that employs multiple
mobile 3D printers to work together on printing the desired part cooperatively for better …

Real-Time Multi-Vehicle Scheduling in Tasks with Dependency Relationships Using Multi-Agent Reinforcement Learning

S Zhang, H Shi, W Zhang, Y Pang, P Sun - IEEE Access, 2024 - ieeexplore.ieee.org
With the advancement of technology in vehicle-road collaboration and autonomous driving,
new commercial applications have surfaced. These include autonomous ride-hailing …

Exploration and coordination of complementary multirobot teams in a hunter‐and‐gatherer scenario

M Dadvar, S Moazami, HR Myler, H Zargarzadeh - Complexity, 2021 - Wiley Online Library
The hunter‐and‐gatherer approach copes with the problem of dynamic multirobot task
allocation, where tasks are unknowingly distributed over an environment. This approach …

Gantry scheduling for multi-gantry production system by online task allocation method

X Ou, Q Chang, N Chakraborty… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
For a multi-gantry production system, in which several gantries move among the machines
and load/unload parts, the assignment of gantries directly impacts the system performance …

A Survey on Task Allocation and Scheduling in Robotic Network Systems

S Alirezazadeh, LA Alexandre - arXiv preprint arXiv:2303.12876, 2023 - arxiv.org
Cloud Robotics is helping to create a new generation of robots that leverage the nearly
unlimited resources of large data centers (ie, the cloud), overcoming the limitations imposed …

Optimizing parallel task execution for multi-agent mission planning

B Miloradović, B Çürüklü, M Ekström… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-agent systems have received a tremendous amount of attention in many areas of
research and industry, especially in robotics and computer science. With the increased …