ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Does the fairness of healthcare resource allocation affect utilization efficiency?-an empirical study based on China's provincial panel data. [PDF]
Xu A, Wei H.
europepmc +1 more source
Experiences With a Last Meter Delivery Robot
ABSTRACT The steady growth of e‐commerce is a consolidated trend continuously increasing the number of parcels delivered worldwide. Conventionally, in logistics, last mile delivery has been the area of study covering the last step of a parcel delivery process: from the nearest distribution center to the customer.
Ricard Bitriá +3 more
wiley +1 more source
Dynamic optimization of high-bandwidth multi-receiver signals for civil aircraft flight tests telemetry. [PDF]
Liu T, Zhao C.
europepmc +1 more source
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley +1 more source
Power management and performance optimization of underwater wireless sensor networks based on MARL. [PDF]
Guan J.
europepmc +1 more source
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng +4 more
wiley +1 more source
UAV inspection path optimization in offshore wind farms using the OPTION-A*-DQN algorithm. [PDF]
Xu M, Deng C, Hu X, Lu Y, Xue W, Zhu B.
europepmc +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Optimized economic scheduling of demand response in integrated energy systems considering dynamic energy efficiency and dynamic carbon trading. [PDF]
Mao H, Deng Q, Zhang Z, Yang X.
europepmc +1 more source

