Titlebook: Advances in Physical Agents II; Proceedings of the 2 Luis M. Bergasa,Manuel Ocaña,Pedro Revenga Conference proceedings 2021 The Editor(s) (

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书目名称Advances in Physical Agents II影响因子(影响力)




书目名称Advances in Physical Agents II影响因子(影响力)学科排名




书目名称Advances in Physical Agents II网络公开度




书目名称Advances in Physical Agents II网络公开度学科排名




书目名称Advances in Physical Agents II被引频次




书目名称Advances in Physical Agents II被引频次学科排名




书目名称Advances in Physical Agents II年度引用




书目名称Advances in Physical Agents II年度引用学科排名




书目名称Advances in Physical Agents II读者反馈




书目名称Advances in Physical Agents II读者反馈学科排名

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杂役

Conference proceedings 2021n a dynamic environment. It covers a wide range of topics relating to: autonomous navigation, localization and mapping; mobile and social robots; multiagent systems; human-robot interaction; perception systems; and deep-learning techniques applied to the robotics. Based on the 21st edition of the In

厚颜

Koichiro Sugihara,Naohiro Hayashibararopose a lifelong system to address this problem. The robot takes into account different possible locations for each object, and chooses the more probable one when it is required. We have designed a probability based system that stores possible locations for each object, and updates the probabilities of past locations based on newer detections.

Gullible

Adaptive optical-phase equalizere lane avoiding collisions and road departures. A dynamic urban simulation environment will be designed using CARLA simulator to validate our proposal. The results show that a DQN agent could be a promising technique for self-driving a vehicle in a urban environment.

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