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Mobile edge intelligence and computing for the internet of vehicles
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …
advancements in vehicular communications and networking. Meanwhile, the capability and …
Multiple‐robot simultaneous localization and map**: A review
Simultaneous localization and map** (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …
major challenge for researchers in the field of mobile robotics. Many solutions for single …
Collaborative semantic understanding and map** framework for autonomous systems
Performing collaborative semantic map** is a critical challenge for cooperative robots to
enhance their comprehensive contextual understanding of the surroundings. This article …
enhance their comprehensive contextual understanding of the surroundings. This article …
QP-based refined manipulability-maximizing scheme for coordinated motion planning and control of physically constrained wheeled mobile redundant manipulators
By following the pseudoinverse-type formulation, a corresponding quadratic program (QP)-
based rough manipulability-maximizing (RoMM) scheme is obtained. In consideration of the …
based rough manipulability-maximizing (RoMM) scheme is obtained. In consideration of the …
Day and night collaborative dynamic map** in unstructured environment based on multimodal sensors
Enabling long-term operation during day and night for collaborative robots requires a
comprehensive understanding of the unstructured environment. Besides, in the dynamic …
comprehensive understanding of the unstructured environment. Besides, in the dynamic …
A hierarchical framework for collaborative probabilistic semantic map**
Performing collaborative semantic map** is a critical challenge for cooperative robots to
maintain a comprehensive contextual understanding of the surroundings. Most of the …
maintain a comprehensive contextual understanding of the surroundings. Most of the …
Hierarchical probabilistic fusion framework for matching and merging of 3-d occupancy maps
Fusing 3-D maps generated by multiple robots in real/semi-real time distributed map**
systems are addressed in this paper. A 3-D occupancy grid-based approach for map** is …
systems are addressed in this paper. A 3-D occupancy grid-based approach for map** is …
A multilevel fusion system for multirobot 3-d map** using heterogeneous sensors
Operating multiple robots in an unstructured environment is challenging due to its high
complexity and uncertainty. In such applications, the integration of individual maps …
complexity and uncertainty. In such applications, the integration of individual maps …