Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning. [PDF]
Liu J, Zou Y, Du G, Zhang X, Wu J.
europepmc +1 more source
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator. [PDF]
Gul BT +5 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Neural Network-Based Model Predictive Trajectory Tracking Control for Dual-Motor-Driven a Tracked Unmanned Vehicle. [PDF]
Zhai L +5 more
europepmc +1 more source
Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira +5 more
wiley +1 more source
Adaptive Sliding Mode Control Incorporating Improved Integral Compensation Mechanism for Vehicle Platoon with Input Delays. [PDF]
Ding Y, Wang Y, Li X.
europepmc +1 more source
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
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 +7 more
wiley +1 more source
Intelligent Traffic Control Strategies for VLC-Connected Vehicles and Pedestrian Flow Management. [PDF]
Galvão G +4 more
europepmc +1 more source

