A deep reinforcement learning strategy combining expert experience guidance for a fruit-picking manipulator
Y Liu, P Gao, C Zheng, L Tian, Y Tian - Electronics, 2022 - mdpi.com
When using deep reinforcement learning algorithms for path planning of a multi-DOF fruit-
picking manipulator in unstructured environments, it is much too difficult for the multi-DOF …
picking manipulator in unstructured environments, it is much too difficult for the multi-DOF …
Map merging for multi-robotic applications
J Vaščák, D Herich - 2023 IEEE 21st World Symposium on …, 2023 - ieeexplore.ieee.org
With the development of robotics, multi-robot applications are increasingly coming to the
foreground, where groups of robots, generally vehicles, are used to perform different tasks …
foreground, where groups of robots, generally vehicles, are used to perform different tasks …
AI Based Workflow Scheduling and Automatic Migration Planning Model for Cloud Computing
M Yenugula - International Conference on Advanced Computing and …, 2024 - Springer
Scheduling tasks in information technology facilities in an energy-efficient manner is an
important and widely-discussed problem. But in a real-world information center, the job …
important and widely-discussed problem. But in a real-world information center, the job …
Road Traffic Control Management and Creation of VANET Networks by VanetSim Simulator
F Valocky, D Mokry, M Orgon, A Bohacik - Proceedings of the …, 2022 - Springer
Increasing urbanization caused by growing population leads to expansion of road
infrastructure. This leads to a reduction in the flow of road traffic and thus to the increase in …
infrastructure. This leads to a reduction in the flow of road traffic and thus to the increase in …