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 …
A survey and analysis of multi-robot coordination
In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …
significantly in size and importance in recent years. Having made great progress in the …
Enhancing robot task completion through environment and task inference: A survey from the mobile robot perspective
In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
Deep reinforcement learning for decentralized multi-robot exploration with macro actions
Cooperative multi-robot teams need to be able to explore cluttered and unstructured
environments while dealing with communication dropouts that prevent them from …
environments while dealing with communication dropouts that prevent them from …
Map** and exploration in a hierarchical heterogeneous multi-robot system using limited capability robots
P Chand, DA Carnegie - Robotics and autonomous Systems, 2013 - Elsevier
This paper focusses on the development of a customised map** and exploration task for a
heterogeneous ensemble of mobile robots. Many robots in the team may have limited …
heterogeneous ensemble of mobile robots. Many robots in the team may have limited …
4CNet: A confidence-aware, contrastive, conditional, consistency model for robot map prediction in multi-robot environments
Mobile robots in unknown cluttered environments with irregularly shaped obstacles often
face sensing, energy, and communication challenges which directly affect their ability to …
face sensing, energy, and communication challenges which directly affect their ability to …
Coordinated Multi-Robot Exploration using Reinforcement Learning
Exploring an unknown environment by multiple autonomous robots is a long-studied
problem in robotics. The agents need to coordinate the exploration to minimize the …
problem in robotics. The agents need to coordinate the exploration to minimize the …
LECES: A Low-bandwidth and Efficient Collaborative Exploration System with Distributed Multi-UAV
T Zhang, H Shen, Y Yin, J Xu, J Yu… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Collaborative exploration is a prevailing trend of autonomous exploration by unmanned
aerial vehicles (UAVs). However, most collaborative exploration systems rely on excessively …
aerial vehicles (UAVs). However, most collaborative exploration systems rely on excessively …
Multi-UAV task allocation: A team-based approach
This paper presents a team-search based decentralized task allocation scheme for multiple
homogeneous unmanned aerial vehicles (UAVs) to provide protection to static convoys of …
homogeneous unmanned aerial vehicles (UAVs) to provide protection to static convoys of …
[HTML][HTML] A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation
R Wang, M Lyu, J Zhang - Mathematics, 2025 - mdpi.com
Multi-robot collaborative autonomous exploration in communication-constrained scenarios
is essential in areas such as search and rescue. During the exploration process, the robot …
is essential in areas such as search and rescue. During the exploration process, the robot …