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Minglei Xiong and Guangming Xie
Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm?s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots hav...
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Luke Balcombe
Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big data, natural language processing (NLP) and machine learning (ML) algorithms, they offer the potential to expand capabilities, improve productivity and provide guidan...
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Federica Monaco, Sergio Coluccia, Arturo Cuomo, Davide Nocerino, Daniela Schiavo, Gilda Pasta, Francesca Bifulco, Pasquale Buonanno, Vittorio Riccio, Marianna Leonardi, Francesco Perri, Alessandro Ottaiano, Francesco Sabbatino, Alessandro Vittori and Marco Cascella
Background: Percutaneous electrical nerve stimulation (PENS) is a minimally invasive peripheral neuromodulation approach implemented against chronic neuropathic and mixed pain. This bibliometric study aims to quantitatively evaluate the output of PENS fo...
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Jishu K. Medhi, Rui Liu, Qianlong Wang and Xuhui Chen
Multiple unmanned aerial vehicle (multi-UAV) systems have gained significant attention in applications, such as aerial surveillance and search and rescue missions. With the recent development of state-of-the-art multiagent reinforcement learning (MARL) a...
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Chuan Xie, Weixing Yao, Danfa Zhou and Caijun Xue
The main concern of the paper is the concurrent treatment of size and layout variables in the static?dynamic coupled layout optimization of stiffened plates. As compared to size optimization alone, layout optimization is a more challenging task, and the ...
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