Results 111 to 120 of about 4,642,167 (304)

Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions

Advanced Optical Materials, EarlyView.
This work presents high‐performance visible‐blind NIR OPDs enabled by a multilayer optical modulation layer. The devices achieve strong visible‐light suppression and enhanced NIR sensitivity, enabling robust imaging in foggy or low‐light environments.
Baozhong Deng, Kean Lu, Zhouyi Lu, Yi Li, Gaoyu Dai, Luqiao Yin, Zihan Wang, Bruno Grandidier, Tao Xu, Furong Zhu   +9 more
wiley   +1 more source

Stochastic Geometric Analysis in Cooperative Vehicular Networks Under Weibull Fading

IEEE Access, 2019
We study the performance of a cooperative vehicular communication system in a highway traffic scenario, where the locations of co-channel interfering vehicles are modeled by a one-dimensional Poisson point process (PPP).
Yang Wang, Fuqiang Liu, Chao Wang, Ping Wang, Yusheng Ji   +4 more
doaj   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Multidirectional Motion Strategy of Miniature Water Surface Robot Actuated by Single Exciter

Advanced Robotics Research, EarlyView.
A novel multidirectional motion strategy on the water surface based on a single exciter is proposed, and a single‐exciter single‐plate module is developed for actuation. The driving forces generation mechanism of the module is revealed from the perspective of the asymmetric surface wave field.
Haoxuan He, Dehong Wang, Jing Li, Shijing Zhang, Yingxiang Liu   +4 more
wiley   +1 more source

Extremely Large-Aperture Arrays for V2X Communication, Localization and Sensing

Sensors
Future sixth-generation (6G) vehicular networks are expected to support connected, autonomous, and cooperative driving through ultra-reliable, low-latency, and context-aware vehicle-to-everything (V2X) communications.
Nicolò Decarli, Caterina Giovannetti, Francesco Guidi, Anna Guerra, Alberto Zanella, Barbara Mavì Masini   +5 more
doaj   +1 more source

Development of a Low Mobility IEEE 802.15.4 Compliant VANET System for Urban Environments

Sensors, 2013
The use of Vehicular Ad-Hoc Networks (VANETs) is growing nowadays and it includes both roadside-to-vehicle communication (RVC) and inter-vehicle communication (IVC).
Ignacio Raúl Matías, Carlos Fernández-Valdivielso, Juan Antonio Nazabal, Francisco Falcone   +3 more
doaj   +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

Performance Characterization of Vehicular Visible Light Communication in the Presence of Sunlight

IEEE Open Journal of the Communications Society
Vehicular visible light communication (VLC) has emerged as a promising alternative to radio-based vehicular communication and aims to utilize the widely available light emitting diode (LED) based vehicle exterior lighting for dual-purpose illumination ...
Bismillah Nasir Ashfaq, Murat Uysal
doaj   +1 more source

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

International Journal of Distributed Sensor Networks, 2019
Vehicular ad hoc networks consist of access points for communication, transmission, and collecting information of nodes and environment for managing traffic loads.
Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan   +5 more
doaj   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source