Results 201 to 210 of about 6,534,602 (244)

Development and verification of a comprehensive diagnostic model for osteosarcoma using random forest and artificial neural network. [PDF]

Discov Oncol
Zou H, Feng X, Yu H, Jiang R, Sun G, Huang L, Lu J, Li B, Shi W, Zhang Y.   +9 more
europepmc   +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

A new automatic forecasting method based on explainable deep dendritic artificial neural network. [PDF]

Sci Rep
Bas E, Egrioglu E.
europepmc   +1 more source

In Situ Photopolymerization of Smectic B Liquid‐Crystalline Electrolytes from Mesogenic Phosphate–Diacrylate/Ionic Liquid Complexes for High‐Performance Soft Ionic Actuators

Advanced Robotics Research, EarlyView.
A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
wiley   +1 more source

Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]

Sci Rep
Barakat MA, Hyder AA, Aboelenen T, Iqbal N, Shafee A, Noori N.   +5 more
europepmc   +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

Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg-Type Pullets. [PDF]

Vet Med Sci
Gharajeh ZM, Kuhi HD, Hossein-Zadeh NG.
europepmc   +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

A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments. [PDF]

Sci Rep
Kafy AA, Rafi AH, Alsulamy S, Shohan AAA, Baky AA, Bahiru TK.   +5 more
europepmc   +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