Results 71 to 80 of about 216,240 (267)

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

Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm

Journal of Telecommunications and Information Technology, 2017
Quality of service parameters of cognitive radio, like, bandwidth, throughput and spectral efficiency are optimized using adaptive and demand based genetic algorithm.
Subhajit Chatterjee, Swaham Dutta, Partha Pratim Bhattacharya, Jibendu Sekhar Roy   +3 more
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

Research on Basic Theory and Key Technology of Cognitive Radio Network

Dianxin kexue, 2014
Cognitive radio network（CRN）is a cognitive process of network，which makes planning，decision and response for network state through learning and analysis of the network environment.CRN is one of the effective ways to solve the limited network capacity，and
Ping Zhang, Jianwu Li, Zhiyong Feng, Qixun Zhang   +3 more
doaj   +2 more sources

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

Towards Cognitive Radio for emergency networks [PDF]

, 2006
Large parts of the assigned spectrum is underutilized while the increasing number of wireless multimedia applications leads to spectrum scarcity. Cognitive Radio is an option to utilize non-used parts of the spectrum that actually are assigned to ...
Hoeksema, F.W., Kokkeler, A.B.J., Smit, G.J.M., Zhang, Qiwei   +3 more
core   +2 more sources

Communication mechanisms for cognitive radio networks

2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013
Comprehensive communication in cognitive radio networks is an important research topic within the scope of empowering cognitive radio functionality in beyond-4G mobile networks. Providing communication for secondary users without interference with primary users is an ambitious task, which requires innovative management architecture designs and routing ...
Popescu, Alexandru, Yao, Yong, Fiedler, Markus, Popescu, Adrian   +3 more
openaire   +3 more sources

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

Evaluación del establecimiento de la métrica de enrutamiento WCETT en una red de radio cognitiva

Tecnura, 2013
This paper presents an evaluation of the WCETT (Weighted Cumulative Expected Transmission Time) routing metric setup for a cognitive radio network. This metric setup is based on the software application called CRCN (Cognitive Radio Cognitive Network ...
Gabriel A. Puerta A., Edgar Alirio Aguirre, Luis F. Pedraza   +2 more
doaj