Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art
In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …
Advancements in humanoid robots: A comprehensive review and future prospects
This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
prospects of humanoid robots, highlighting their significance in driving the evolution of next …
Multi-robot exploration in task allocation problem
Task allocation is an important problem in multi-robot system which can be defined with
different setup for different application, ie coverage, surveillance and mining mission in static …
different setup for different application, ie coverage, surveillance and mining mission in static …
Multi-UAV task allocation based on improved genetic algorithm
X Wu, Y Yin, L Xu, X Wu, F Meng, R Zhen - IEEE Access, 2021 - ieeexplore.ieee.org
The path length of multiple unmanned aerial vehicle (multi-UAV) has a certain impact on the
task allocation of multi-UAV. In order to improve the efficiency of multi-UAV and reduce the …
task allocation of multi-UAV. In order to improve the efficiency of multi-UAV and reduce the …
A survey of task allocation techniques in MAS
GM Skaltsis, HS Shin… - … Conference on Unmanned …, 2021 - ieeexplore.ieee.org
Multi-agent systems and especially unmanned vehicles, are a crucial part of the solution to a
lot of real world problems, making essential the improvement of task allocation techniques …
lot of real world problems, making essential the improvement of task allocation techniques …
A comprehensive survey on humanoid robot development
The development of a versatile, fully-capable humanoid robot as envisioned in science
fiction books is one of the most challenging but interesting issues in the robotic field …
fiction books is one of the most challenging but interesting issues in the robotic field …
A deep reinforcement learning algorithm to control a two-wheeled scooter with a humanoid robot
Balancing a two-wheeled scooter is considered a challenging task for robots, as it is a non-
linear control problem in a highly dynamic environment. The rapid pace of development of …
linear control problem in a highly dynamic environment. The rapid pace of development of …
Novel hybrid algorithm for Team Orienteering Problem with Time Windows for rescue applications
Robots for rescue operations after a disaster are an interesting and challenging research
problem that has the potential to save lives and reduce economic losses after a disaster. We …
problem that has the potential to save lives and reduce economic losses after a disaster. We …
Hierarchical deep reinforcement learning to drag heavy objects by adult-sized humanoid robot
Most research on robot manipulation focuses on objects that are light enough for the robot to
pick them up. However, in our daily life, some objects are too big or too heavy to be picked …
pick them up. However, in our daily life, some objects are too big or too heavy to be picked …
Hybrid filtered beam search algorithm for the optimization of monitoring patrols
This paper offers an operational and methodological response for managing industrial risks
by improving the monitoring of industrial areas. The objective is the optimization of …
by improving the monitoring of industrial areas. The objective is the optimization of …