Internet of ships: A survey on architectures, emerging applications, and challenges

S Aslam, MP Michaelides… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The recent emergence of Internet-of-Things (IoT) technologies in mission-critical
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …

Multi-robot coordination analysis, taxonomy, challenges and future scope

JK Verma, V Ranga - Journal of intelligent & robotic systems, 2021 - Springer
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

MAPF-LNS2: Fast repairing for multi-agent path finding via large neighborhood search

J Li, Z Chen, D Harabor, PJ Stuckey… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Abstract Multi-Agent Path Finding (MAPF) is the problem of planning collision-free paths for
multiple agents in a shared environment. In this paper, we propose a novel algorithm MAPF …

Collision avoidance of multi unmanned aerial vehicles: A review

S Huang, RSH Teo, KK Tan - Annual Reviews in Control, 2019 - Elsevier
The control of a multiple unmanned aerial vehicle (UAV) system is popular and attracting a
lot of attentions. This is motivated by many practical civil and commercial UAV applications …

Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework

AJM Muzahid, SF Kamarulzaman, MA Rahman… - Scientific reports, 2023 - nature.com
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …

Cooperative collision avoidance for nonholonomic robots

J Alonso-Mora, P Beardsley… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we present a method, namely€ CCA, for collision avoidance in dynamic
environments among interacting agents, such as other robots or humans. Given a preferred …

[PDF][PDF] Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems

O Salzman, R Stern - Proceedings of the 19th International Conference …, 2020 - ifaamas.org
Recent years have shown a large increase in applications and research of problems that
include moving a fleet of physical robots. One particular application that is currently a multi …

Efficient trajectory planning for multiple non-holonomic mobile robots via prioritized trajectory optimization

J Li, M Ran, L Xie - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
In this letter, we present a novel approach to efficiently generate collision-free optimal
trajectories for multiple non-holonomic mobile robots in obstacle-rich environments. Our …

[HTML][HTML] Multi-robot task allocation clustering based on game theory

JG Martin, FJ Muros, JM Maestre… - Robotics and Autonomous …, 2023 - Elsevier
A cooperative game theory framework is proposed to solve multi-robot task allocation
(MRTA) problems. In particular, a cooperative game is built to assess the performance of …

Neural-swarm2: Planning and control of heterogeneous multirotor swarms using learned interactions

G Shi, W Hönig, X Shi, Y Yue… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We present Neural-Swarm2, a learning-based method for motion planning and control that
allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation …