受强制性开放获取政策约束的文章 - Arash Asgharivaskasi了解详情
可在其他位置公开访问的文章：8 篇
Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration
A Asgharivaskasi, N Atanasov
IEEE Transactions on Robotics, 2023
强制性开放获取政策： US National Science Foundation
Active bayesian multi-class mapping from range and semantic segmentation observations
A Asgharivaskasi, N Atanasov
2021 IEEE international conference on robotics and automation (ICRA), 1-7, 2021
强制性开放获取政策： US Department of Defense
Learning Continuous Control Policies for Information-Theoretic Active Perception
P Yang, Y Liu, S Koga, A Asgharivaskasi, N Atanasov
2023 IEEE International Conference on Robotics and Automation (ICRA), 2098-2104, 2023
强制性开放获取政策： US National Science Foundation
Active exploration and mapping via iterative covariance regulation over continuous SE (3) trajectories
S Koga, A Asgharivaskasi, N Atanasov
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
强制性开放获取政策： US Department of Defense
Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE (3) Trajectories
A Asgharivaskasi, S Koga, N Atanasov
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Policy Learning for Active Target Tracking over Continuous Trajectories
P Yang, S Koga, A Asgharivaskasi, N Atanasov
Learning for Dynamics and Control Conference, 64-75, 2023
强制性开放获取政策： US National Science Foundation
Active SLAM over continuous trajectory and control: A covariance-feedback approach
S Koga, A Asgharivaskasi, N Atanasov
2022 American Control Conference (ACC), 5062-5068, 2022
强制性开放获取政策： US National Science Foundation
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning
DT Larsson, A Asgharivaskasi, J Lim, N Atanasov, P Tsiotras
2023 IEEE International Conference on Robotics and Automation (ICRA), 6937-6943, 2023
强制性开放获取政策： US Department of Defense
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