A survey on aerial swarm robotics

SJ Chung, AA Paranjape, P Dames… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

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 …

Finite-time formation control of under-actuated ships using nonlinear sliding mode control

T Li, R Zhao, CLP Chen, L Fang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A novel nonlinear sliding mode control approach dealing with the formation control of under-
actuated ships is presented in this paper. To avoid the singularity problem, state space of the …

Adaptive neural self-triggered bipartite secure control for nonlinear MASs subject to DoS attacks

F Cheng, H Liang, B Niu, N Zhao, X Zhao - Information Sciences, 2023 - Elsevier
This paper studies the bipartite secure control design problem for nonlinear multi-agent
systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By …

Deep reinforcement learning for swarm systems

M Hüttenrauch, A Šošić, G Neumann - Journal of Machine Learning …, 2019 - jmlr.org
Recently, deep reinforcement learning (RL) methods have been applied successfully to
multi-agent scenarios. Typically, the observation vector for decentralized decision making is …

Fault tolerant finite-time leader–follower formation control for autonomous surface vessels with LOS range and angle constraints

X Jin - Automatica, 2016 - Elsevier
In this work, we present a novel fault tolerant leader–follower formation control scheme for a
group of underactuated autonomous surface vessels with partially known control input gain …

Multi-robot formation control and object transport in dynamic environments via constrained optimization

J Alonso-Mora, S Baker, D Rus - The International Journal …, 2017 - journals.sagepub.com
We present a constrained optimization method for multi-robot formation control in dynamic
environments, where the robots adjust the parameters of the formation, such as size and …

Graph theoretic methods in multiagent networks

M Mesbahi - 2010 - torrossa.com
“I don't want to achieve immortality through my work... I want to achieve it through not dying.”—
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …

Towards a swarm of agile micro quadrotors

A Kushleyev, D Mellinger, C Powers, V Kumar - Autonomous Robots, 2013 - Springer
We describe a prototype 75 g micro quadrotor with onboard attitude estimation and control
that operates autonomously with an external localization system. The motivation for …

[图书][B] Planning algorithms

SM LaValle - 2006 - books.google.com
Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …