Sim-to-real transfer in deep reinforcement learning for robotics: a survey

W Zhao, JP Queralta… - 2020 IEEE symposium …, 2020 - ieeexplore.ieee.org
Deep reinforcement learning has recently seen huge success across multiple areas in the
robotics domain. Owing to the limitations of gathering real-world data, ie, sample inefficiency …

Lessons learned from natural disasters around digital health technologies and delivering quality healthcare

Z Lokmic-Tomkins, D Bhandari, C Bain… - International journal of …, 2023 - mdpi.com
As climate change drives increased intensity, duration and severity of weather-related
events that can lead to natural disasters and mass casualties, innovative approaches are …

[HTML][HTML] Autonomous thermal vision robotic system for victims recognition in search and rescue missions

C Cruz Ulloa, G Prieto Sánchez, A Barrientos… - Sensors, 2021 - mdpi.com
Technological breakthroughs in recent years have led to a revolution in fields such as
Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and …

[PDF][PDF] A review of multi-agent mobile robot systems applications

AAA Rasheed, MN Abdullah… - International Journal of …, 2022 - academia.edu
A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic
task of this system is based on distributive and cooperative work among agents (robots). It …

[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators

MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

Multi-robot systems and cooperative object transport: Communications, platforms, and challenges

X An, C Wu, Y Lin, M Lin… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Multi-robot systems gain considerable attention due to lower cost, better robustness, and
higher scalability as compared with single-robot systems. Cooperative object transport, as a …

[HTML][HTML] A human-centric framework for robotic task learning and optimization

L Roveda, P Veerappan, M Maccarini, G Bucca… - Journal of Manufacturing …, 2023 - Elsevier
One of the main objectives of the fifth industrial revolution is the design and implementation
of human-centric production environments. The human is, indeed, placed in the center of the …

Unmanned aerial systems in search and rescue applications with their path planning: a review

VS Ajith, KG Jolly - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In recent days, the Unmanned Aerial Systems (UAS) is an emerging technology rapidly
across many warfare's and enable new civilian domains which include real-time monitoring …

Hmaac: Hierarchical multi-agent actor-critic for aerial search with explicit coordination modeling

C Sun, S Huang, D Pompili - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become prevalent in Search-And-Rescue (SAR)
missions. However, existing solutions to the control and coordination of UAV s are mostly …

Multi-agent coverage path planning via proximity interaction and cooperation

L Jiao, Z Peng, L Xi, S Ding, J Cui - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In multi-agent systems, the decision of an agent will be affected by the behaviors of others.
Therefore, from the perspective of an agent, the situation is uncertain and random. Inspired …