Results 161 to 170 of about 8,395 (265)

Towards the Design of Efficient and Secure Architecture for Software-Defined Vehicular Networks. [PDF]

Sensors (Basel), 2021
Adnan M, Iqbal J, Waheed A, Amin NU, Zareei M, Umer A, Mohamed EM.   +6 more
europepmc   +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

Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]

Sci Rep
Liu Q, Ma Y.
europepmc   +1 more source

QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing. [PDF]

Sensors (Basel), 2022
Syed SA, Rashid M, Hussain S, Azim F, Zahid H, Umer A, Waheed A, Zareei M, Vargas-Rosales C.   +8 more
europepmc   +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

An intelligent IDS using bagging based fuzzy CNN for secured communication in vehicular networks. [PDF]

Sci Rep
Anand M, Muthurajkumar S.
europepmc   +1 more source

Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks. [PDF]

Sensors (Basel), 2021
Mehedi ST, Anwar A, Rahman Z, Ahmed K.
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Detecting Malicious Anomalies in Heavy-Duty Vehicular Networks Using Long Short-Term Memory Models. [PDF]

Sensors (Basel)
Potvin MJ, Leblanc SP.
europepmc   +1 more source

On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks. [PDF]

Sensors (Basel), 2021
Adnan M, Iqbal J, Waheed A, Amin NU, Zareei M, Goudarzi S, Umer A.   +6 more
europepmc   +1 more source