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Flexible behavioral decision making of mobile robot in dynamic environment
J Zhu, D Wang, J Si - IEEE Transactions on Cognitive and …, 2022 - ieeexplore.ieee.org
How to achieve flexible behavioral decision making in a dynamic environment is an
important prerequisite for a mobile robot to execute various tasks. Traditional methods suffer …
important prerequisite for a mobile robot to execute various tasks. Traditional methods suffer …
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot
It is a significant research direction for highly complex musculoskeletal robots that how to
develop the ability of motion learning and generalization. The cooperations of multiple brain …
develop the ability of motion learning and generalization. The cooperations of multiple brain …
Fixed-time event-triggered control for multi-agent systems with input delay
L Wang, X Xu, B Han - Plos one, 2023 - journals.plos.org
An in-depth study on the fixed-time event-triggered obstacle avoidance consensus control in
heterogeneous USV-AUV systems with input delay and uncertain disturbances are …
heterogeneous USV-AUV systems with input delay and uncertain disturbances are …
Integrated model of cerebellal supervised learning and basal ganglia's reinforcement learning for mobile robot behavioral decision-making
Z Wu, D Wang, L Liu - Cognitive Systems Research, 2024 - Elsevier
Behavioral decision-making in unknown environments of mobile robots is a crucial research
topic in robotics. Inspired by the working mechanism of different brain regions in mammals …
topic in robotics. Inspired by the working mechanism of different brain regions in mammals …
Behavioral Decision-Making of Mobile Robots Simulating the Functions of Cerebellum, Basal ganglia and Hippocampus
D Wang, Q Liu, Y Duan - IEEE Transactions on Artificial …, 2025 - ieeexplore.ieee.org
In unknown environments, behavioral decision-making of mobile robots is a crucial research
topic in the field of robotics applications. To address the low learning ability and the difficulty …
topic in the field of robotics applications. To address the low learning ability and the difficulty …
Multi-Brain-Region Fusion Neural Network for Motion Control of Musculoskeletal Robot*
J Zhang, S Zhong, J Chen, Z Liu - … International Conference on …, 2024 - ieeexplore.ieee.org
Neuroheuristic methods are effective schemes to improve the motion performance of highly
complex musculoskeletal robot systems. Inspired by structures and functions of basal …
complex musculoskeletal robot systems. Inspired by structures and functions of basal …
未知环境中移动机器人柔性行为决策的调节发育学**.
王东署, 高旭霖 - … Theory & Applications/Kongzhi Lilun Yu …, 2023 - search.ebscohost.com
未知环境中移动机器人柔性的行为决策是完成各种任务的前提. 目前的机器人行为决策方法在面
对动态变化的环境时柔性较差, 机器人难以获得持续稳定的学**能力. 本文作者曾尝试通过集成 …
对动态变化的环境时柔性较差, 机器人难以获得持续稳定的学**能力. 本文作者曾尝试通过集成 …
Fixed-Time Event-Triggered Obstacle Avoidance Control for Heterogeneous Multi-Agent Systems with Input Delay
L Wang, X Xu - 2023 - researchsquare.com
An in-depth study on the fixed-time event-triggered obstacle avoidance consensus control in
heterogeneous USV-AUV systems with input delay and uncertain disturbances are …
heterogeneous USV-AUV systems with input delay and uncertain disturbances are …
Emotion-Driven Decision Making: When Rationality Meets Occasional Sub-Optimality
S Das, P Mondal - Authorea Preprints - techrxiv.org
This paper introduces a mathematical and computational model elucidating human decision-
making processes within complex action spaces. It explores how individuals navigate such …
making processes within complex action spaces. It explores how individuals navigate such …