Results 251 to 260 of about 7,772,956 (333)

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +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

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

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Introducing machine learning and hybrid algorithm for prediction and optimization of multistage centrifugal pump in an ORC system

, 2021
The isentropic efficiency of the working fluid pump has a significant impact on the overall performance of the organic Rankine cycle (ORC) system. Based on machine learning, this paper proposes an experimental data-driven isentropic efficiency prediction
Xu Ping, Fubin Yang, Hongguang Zhang, Jian Zhang, Wujie Zhang, Gege Song   +5 more
semanticscholar   +1 more source

A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models

Energy Conversion and Management, 2020
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is very critical to simulate, evaluate and control the PV systems.
Wen Long, Shaohong Cai, J. Jiao, Ming Xu, Tiebin Wu   +4 more
semanticscholar   +1 more source

A new efficient hybrid algorithm for large scale multiple traveling salesman problems

Expert systems with applications, 2020
Multiple traveling salesmen problem (MTSP) is not only a generalization of the traveling salesman problem (TSP), but also more suitable for modeling practical problems in the real life than TSP.
Chao Jiang, Z. Wan, Zhenhua Peng
semanticscholar   +1 more source

A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer

, 2020
Global warming is a hot topic of climate change, and its negative impact on oceans, ecology, and human health has become an indisputable fact. As a major cause of global warming, carbon dioxide emissions forecasting has attracted increasingly attention ...
Weibiao Qiao, Hongfang Lu, Guofeng Zhou, Mohammadamin Azimi, Quan Yang, Wencai Tian   +5 more
semanticscholar   +1 more source

Hybrid CORDIC algorithms

IEEE Transactions on Computers, 1997
Each coordinate rotation digital computer iteration selects the rotation direction by analyzing the results of the previous iteration. In this paper, we introduce two arctangent radices and show that about 2/3 of the rotation directions can be derived in parallel without any error. Some architectures exploiting these strategies are proposed.
S. Wang, V. Piuri, E. E. Swartzlander
openaire   +2 more sources

Hybrid Multifluid Algorithms

SIAM Journal on Scientific Computing, 1996
A hybrid approach is presented for computing the dynamics of compressible multicomponent fluids, which is based on augmenting the Euler multicomponent equations by the pressure evolution equation. The extended system offers two choices for updating the pressure field: that is a conservative update, making use of the equation of state applied throughout
openaire   +1 more source

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

, 2020
Pipeline plays an important role in the oil and gas transportation industry. In recent years, more and more pipeline damages and breakdowns are caused by corrosion, which hurts the normal operation. Accurate prediction of the pipeline’s corrosion rate is
Shanbi Peng, Zhe Zhang, Enbin Liu, W. Liu, Weibiao Qiao   +4 more
semanticscholar   +1 more source