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

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書目名稱Advances in Physical Agents II影響因子(影響力)




書目名稱Advances in Physical Agents II影響因子(影響力)學(xué)科排名




書目名稱Advances in Physical Agents II網(wǎng)絡(luò)公開度




書目名稱Advances in Physical Agents II網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Physical Agents II被引頻次




書目名稱Advances in Physical Agents II被引頻次學(xué)科排名




書目名稱Advances in Physical Agents II年度引用




書目名稱Advances in Physical Agents II年度引用學(xué)科排名




書目名稱Advances in Physical Agents II讀者反饋




書目名稱Advances in Physical Agents II讀者反饋學(xué)科排名

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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

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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.

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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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