Cooperative heterogeneous multi-robot systems: A survey
The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
Multi-robot coordination analysis, taxonomy, challenges and future scope
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …
because of their efficiency and applicability in different types of real-life applications. This …
Primal: Pathfinding via reinforcement and imitation multi-agent learning
Multi-agent path finding (MAPF) is an essential component of many large-scale, real-world
robot deployments, from aerial swarms to warehouse automation. However, despite the …
robot deployments, from aerial swarms to warehouse automation. However, despite the …
Receding horizon" next-best-view" planner for 3d exploration
This paper presents a novel path planning algorithm for the autonomous exploration of
unknown space using aerial robotic platforms. The proposed planner employs a receding …
unknown space using aerial robotic platforms. The proposed planner employs a receding …
Multiple mobile robot systems
Within the context of multiple mobile, and networked robot systems, this chapter explores the
current state of the art. After a brief introduction, we first examine architectures for multirobot …
current state of the art. After a brief introduction, we first examine architectures for multirobot …
Multiple‐robot simultaneous localization and map**: A review
Simultaneous localization and map** (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …
major challenge for researchers in the field of mobile robotics. Many solutions for single …
Efficient autonomous exploration planning of large-scale 3-d environments
Exploration is an important aspect of robotics, whether it is for map**, rescue missions, or
path planning in an unknown environment. Frontier Exploration planning (FEP) and …
path planning in an unknown environment. Frontier Exploration planning (FEP) and …
Kilobot: A low cost scalable robot system for collective behaviors
In current robotics research there is a vast body of work on algorithms and control methods
for groups of decentralized cooperating robots, called a swarm or collective. These …
for groups of decentralized cooperating robots, called a swarm or collective. These …
[KÖNYV][B] Distributed control of robotic networks: a mathematical approach to motion coordination algorithms
This self-contained introduction to the distributed control of robotic networks offers a
distinctive blend of computer science and control theory. The book presents a broad set of …
distinctive blend of computer science and control theory. The book presents a broad set of …
Receding horizon path planning for 3D exploration and surface inspection
Within this paper a new path planning algorithm for autonomous robotic exploration and
inspection is presented. The proposed method plans online in a receding horizon fashion by …
inspection is presented. The proposed method plans online in a receding horizon fashion by …