|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rong Zhou, Zhisheng Zhang and Yuan Wang
Deep reinforcement learning is one of the research hotspots in artificial intelligence and has been successfully applied in many research areas; however, the low training efficiency and high demand for samples are problems that limit the application. Ins...
ver más
|
|
|
|
|
|
|
|
|
|
|
Awais Salman Qazi, Muhammad Shoaib Farooq, Furqan Rustam, Mónica Gracia Villar, Carmen Lili Rodríguez and Imran Ashraf
Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recog...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrew Tzer-Yeu Chen and Kevin I-Kai Wang
As we move towards improving the skill of computers to play games like chess against humans, the ability to accurately perceive real-world game boards and game states remains a challenge in many cases, hindering the development of game-playing robots. In...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ewerton L. S. Oliveira, Davide Orrù, Luca Morreale, Tiago P. Nascimento and Andrea Bonarini
Physically-Interactive RoboGames (PIRG) are an emerging application whose aim is to develop robotic agents able to interact and engage humans in a game situation. In this framework, learning a model of players? activity is relevant both to understand the...
ver más
|
|
|
|
|
|