Results 141 to 150 of about 9,189 (259)

Optimising hybrid renewable energy systems for remote tribal villages: A techno-economic case study from central and Eastern India. [PDF]

Sci Rep
Sekhar YR, Chiranjeevi C, Ravindra, Asif M, Hamida MBB, Syum GG.   +5 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Techno-economic optimization of a grid-connected solar-wind - pumped hydro hybrid system for energy and desalination in Ras Ghareb, Egypt. [PDF]

Sci Rep
Awad H, Abu El-Nasr NSM, Mahmoud H, Abdalfatah S.   +3 more
europepmc   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Techno-economic feasibility study of hydrogen storage in enhancing the reliability of a renewable-based microgrid for residential applications. [PDF]

Sci Rep
Ali MF, Azam ME, Shezan SA, Alam MS, Hossain MA, Ali M, Kamwa I.   +6 more
europepmc   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Techno-economic optimization, sensitivity analysis and stability evaluation of a high-renewable hybrid microgrid for rural Bangladesh. [PDF]

Sci Rep
Biswas D, Ali MF, Saha M, Alam MS, Ali M, AlAqil MA, Obaidi O, Islam MK.   +7 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

Therapeutic Spp1 silencing in TREM2⁺ cardiac macrophages suppresses atrial fibrillation. [PDF]

Nat Cardiovasc Res
Momin N, Pabel S, Rudra A, Kumowski N, Lee IH, Seung H, Mentkowski KI, Bapat A, Yamazoe M, Stengel L, Muse CG, Paccalet A, Kadyrov FF, González-Correa C, Jacobs E, Feng E, Park J, Grune J, Schloss MJ, Sossalla S, Wojtkiewicz G, Iwamoto Y, McMullen P, Mitchell RN, Ellinor PT, Anderson DG, Naxerova K, Nahrendorf M, Hulsmans M.   +28 more
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source