Results 171 to 180 of about 4,523,012 (337)

Multi-UAVs task allocation method based on MPSO-SA-DQN

Measurement + Control
Multi-UAVs play an important role in the battlefield. Although many methods are proposed to solve the Multi-UAV task allocation, there still existing the problems of complex time constraints and uncertain solution space.
Peng Pengfei, Gong Xue, Zheng Yalian
doaj   +1 more source

Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments. [PDF]

Front Neurorobot, 2023
Yan X, Zeng Z, He K, Hong H.
europepmc   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC

Advanced Robotics Research, EarlyView.
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang, Jianyang Dong, Yongming Yao, Kaijin Hu, Jianxiong Cui, Yikai Luo, Jiawen Zhang, Shichao Niu   +7 more
wiley   +1 more source

Survey on Multi-Objective Task Allocation Algorithms for IoT Networks. [PDF]

Sensors (Basel), 2022
Weikert D, Steup C, Mostaghim S.
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Communication and Computing Task Allocation for Energy-Efficient Fog Networks. [PDF]

Sensors (Basel), 2023
Kopras B, Idzikowski F, Bossy B, Kryszkiewicz P, Bogucka H.   +4 more
europepmc   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System. [PDF]

Sensors (Basel), 2022
Huang S, Zhang J, Wu Y.
europepmc   +1 more source

Biocatalytic Nanoregulators Restore Joint Redox‐Immune Homeostasis in Rheumatoid Arthritis

Advanced Science, EarlyView.
Mesenchymal stem cell‐derived extracellular vesicles (EVs) coat ruthenium‐loaded metal‐organic frameworks (Ru@ZrMOF), creating a targeted therapeutic (Ru@ZrMOF/EVs). This platform scavenges ROS, generates oxygen, and polarizes macrophages from M1 to M2, alleviating inflammation, inhibiting pannus, promoting cartilage repair, and downregulating HIF‐1α ...
Xingheng Wang, Jianbo Huang, Shuwei Zhang, Sujiao Cao, Fangxue Du, Liqiang Zhou, Li Qiu, Yuanjiao Tang   +7 more
wiley   +1 more source