A review of path-planning approaches for multiple mobile robots

S Lin, A Liu, J Wang, X Kong - Machines, 2022 - mdpi.com
Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …

Intelligent escape of robotic systems: A survey of methodologies, applications, and challenges

J Li, SX Yang - Journal of Intelligent & Robotic Systems, 2023 - Springer
Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI)
techniques to enable robots with the capacity to intelligently react to potential dangers in …

A hybrid deep reinforcement learning and optimal control architecture for autonomous highway driving

N Albarella, DG Lui, A Petrillo, S Santini - Energies, 2023 - mdpi.com
Autonomous vehicles in highway driving scenarios are expected to become a reality in the
next few years. Decision-making and motion planning algorithms, which allow autonomous …

A novel bio-inspired approach with multi-resolution map** for the path planning of multi-robot system in complex environments

X Yi, A Zhu, C Li, SX Yang - Journal of Computational Design …, 2022 - academic.oup.com
For multi-robot systems (MRSs), conventional path planning with single resolution map**
is challenging to balance information and computation. Regarding path planning of MRS …

Dual-Quaternion-Based SLERP MPC Local Controller for Safe Self-Driving of Robotic Wheelchairs

D Wang, W Cao, A Takanishi - Robotics, 2023 - mdpi.com
In this work, the motion control of a robotic wheelchair to achieve safe and intelligent
movement in an unknown scenario is proposed. The primary objective is to develop a …

Multi-objective QoS optimization in swarm robotics

N Mazloomi, Z Zandinejad, A Zaretalab… - Robotics and …, 2024 - Elsevier
Abstract The “Internet of Robotic Things”(IoRT) is a concept that connects sensors and
robotic objects. One of the practical applications of IoRT is swarm robotics, where multiple …

Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO

Q Li, TW Fan, LS Kei, Z Li - PloS one, 2025 - journals.plos.org
Industry 4.0 has transformed manufacturing with the integration of cutting-edge technology,
posing crucial issues in the efficient task assignment to multi-tasking robots within smart …

Biologically inspired approaches to escape and rescue of multiple robots based on neurodynamic models

J Li - 2023 - atrium.lib.uoguelph.ca
Intelligent escape and rescue are growing research areas to handle emergency situations,
such as fires, earthquakes, hurricanes, and military conflicts. Biologically inspired …

Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network

Q Lin, W Lu - arxiv preprint arxiv:2311.07105, 2023 - arxiv.org
Multi-robot systems are widely used in spatially distributed tasks, and their collaborative path
planning is of great significance for working efficiency. Currently, different multi-robot …