Results 101 to 110 of about 4,284,157 (308)

Copper Electroplated TPMS Polymer Lattices for Lightweight Absorption Dominant Electromagnetic Interference Shielding

Advanced Materials Technologies, EarlyView.
Copper electroplating transforms lightweight 3D‐printed TPMS polymer lattices into effective electromagnetic shields. Topology, relative density, and conductive seed layer continuity govern copper penetration, electrical resistance, and attenuation. SEA consistently exceeds SER, while 35% RD Diamond lattice gives the best performance, reaching 48.72 dB
Aman Al Khatib, Fares AlAwwa, Naod Mogos, Abdallah Kamal, Kin Liao, Marwan El Rich, Wael Zaki   +6 more
wiley   +1 more source

Directional antennas for vehicular communication - Experimental results

, 2007
This paper presents first results of experiments in vehicular-to-roadside communication using directional antennas. With directional antennas on one side, the duration of connection to a fixed access point or a road side communication unit can be ...
Timm-Giel, Andreas, Dhanasekaran, Kannan, Subramanian, Anand, Navda, Vishnu, Das, Samir R.   +4 more
core   +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

Social-aware routing for cognitive radio–based vehicular ad hoc networks

International Journal of Distributed Sensor Networks, 2019
Cognitive radio–based vehicular ad hoc networks can solve the problem of limited spectrum resource and growing vehicular communication service demands in intelligent transportation systems, and thus, it receives much concern recently.
Jing Wang, Huyin Zhang, Xing Tang, Sheng Hao   +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

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

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

Vehicular-2-X communication

, 2022
Universal vehicular communication promises many improvements in terms of accident avoidance and mitigation, better utilization of roads and resources such as time and fuel, and new opportunities for infotainment applications.
Rigani, M.A., Radusch, I., Popescu-Zeletin, R.   +2 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 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