Results 141 to 150 of about 75,461 (296)

Particle Swarm Optimization and Random Search for Convolutional Neural Architecture Search

IEEE Access
Evolutionary and swarm intelligence-based algorithms are commonly used as the search strategy component in Neural Architecture Search (NAS). However, little work has been done to quantify the performance improvements that these nature-inspired ...
Kosmas Deligkaris
doaj   +1 more source

Continuous Evolutionary Neural Architecture Search Based on Biased Sampling [PDF]

Jisuanji gongcheng
Neural Architecture Search(NAS) typically requires a considerable amount of time and computing resources due to the independent performance evaluation of each architecture it searches.
YU XUE, Changchang LU
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

SearchLight: Neural Architecture Search for Lightweight Spatio-Temporal Graph Neural Networks

IEEE Access
Spatio-Temporal Graph Neural Networks (STGNNs) are neural network models that integrate spatial information into time series processing, and have been successfully applied in various applications. Although these models have demonstrated strong prediction
Heeyong Yoon, Jinhong Jung, Kang-Wook Chon, Min-Soo Kim   +3 more
doaj   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Remote Sensing Image Classification Based on Neural Networks Designed Using an Efficient Neural Architecture Search Methodology

Mathematics
Successful applications of machine learning for the analysis of remote sensing images remain limited by the difficulty of designing neural networks manually.
Lan Song, Lixin Ding, Mengjia Yin, Wei Ding, Zhigao Zeng, Chunxia Xiao   +5 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

Array-Aware Neural Architecture Search

, 2021
Convolutional Neural Networks (CNNs) have exceeded human accuracy in many Computer Vision tasks, such as Image Classification, Object Detection, Image Segmentation, etc.
Chitty-Venkata, Krishna, Somani, Arun
core  

Systematic Review on Neural Architecture Search

Artificial Intelligence Review
Abstract Machine Learning (ML) has revolutionized various fields, enabling the development of intelligent systems capable of solving complex problems. However, the process of manually designing and optimizing ML models is often timeconsuming, labor-intensive, and requires specialized expertise.
Sasan Salmani Pour Avval, Nathan D. Eskue, Roger M. Groves, Vahid Yaghoubi   +3 more
openaire   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source