Intention Recognition With ProbLog [PDF]
Frontiers in Artificial Intelligence, 2022 In many scenarios where robots or autonomous systems may be deployed, the capacity to infer and reason about the intentions of other agents can improve the performance or utility of the system.
Gary B. Smith +6 more
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Air Combat Intention Recognition with Incomplete Information Based on Decision Tree and GRU Network [PDF]
Entropy, 2023 Battlefield information is generally incomplete, uncertain, or deceptive. To realize enemy intention recognition in an uncertain and incomplete air combat information environment, a novel intention recognition method is proposed.
Jingyang Xia, Mengqi Chen, Weiguo Fang
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IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data [PDF]
Entropy, 2023 As military technology continues to evolve and the amount of situational information available on the battlefield continues to increase, data-driven deep learning methods are becoming the primary method for air target intention recognition. Deep learning
Siyuan Wang +4 more
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Review of sEMG for Exoskeleton Robots: Motion Intention Recognition Techniques and Applications [PDF]
SensorsThe global aging trend is becoming increasingly severe, and the demand for life assistance and medical rehabilitation for frail and disabled elderly people is growing.
Xu Zhang +5 more
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Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data [PDF]
Sensors, 2020 Accurate identification of pedestrian crossing intention is of great significance to the safe and efficient driving of future fully automated vehicles in the city.
Hongjia Zhang +5 more
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Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration [PDF]
Frontiers in Robotics and AICollaboration between humans and robots is essential for optimizing the performance of complex tasks in industrial environments, reducing worker strain, and improving safety.
Matija Mavsar +2 more
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BiLSTM-Attention: An Air Target Tactical Intention Recognition Model [PDF]
Hangkong bingqi, 2021 In the traditional air target tactical intention recognition process, reasoning analysis is only based on a single moment, but in the actual battlefield, the target tactical intention is realized by a series of actions, so the target state presents the ...
Teng Fei, Liu Shu, Song Yafei
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Grasp intention recognition plays a crucial role in controlling assistive robots to aid older people and individuals with limited mobility in restoring arm and hand function.
Bo Yang +5 more
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IEEE Access, 2021 Traditional aerial target tactical intention recognition is based on a single moment of reasoning, while actual battlefield target tactical intention is realized by a series of actions, so the target state reflects dynamic and temporal variation.
Fei Teng +3 more
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Combat Intention Recognition of Air Targets Based on 1DCNN-BiLSTM
IEEE Access, 2023 In air combat, target intent recognition is the premise and foundation of battlefield situation awareness and intelligent decision-making. Aiming at the problem that traditional intention recognition methods cannot deal with a large amount of continuous ...
Chenhao Zhang +5 more
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