Arash Asgharivaskasi

21 papers A* 4A 2C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Riemannian Optimization for Active Mapping With Robot Teams. IEEE Trans. Robotics Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov
2024	J	`jnl`	Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping. CoRR Arash Asgharivaskasi, Nikolay Atanasov
2024	A*	`conf`	Optimal Scene Graph Planning with Large Language Model Guidance. ICRA Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov
2024	J	`jnl`	Riemannian Optimization for Active Mapping with Robot Teams. CoRR Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov
2023	A*	`conf`	Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. ICRA Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
2023	A*	`conf`	Learning Continuous Control Policies for Information-Theoretic Active Perception. ICRA Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2023	J	`jnl`	Optimal Scene Graph Planning with Large Language Model Guidance. CoRR Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov
2023	—	`conf`	Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. L4DC Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2023	J	`jnl`	Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration. IEEE Trans. Robotics Arash Asgharivaskasi, Nikolay Atanasov
2022	A	`conf`	Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. IROS Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov
2022	J	`jnl`	Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. CoRR Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov
2022	C	`conf`	Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. ACC Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2022	J	`jnl`	Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. CoRR Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
2022	J	`jnl`	Learning Continuous Control Policies for Information-Theoretic Active Perception. CoRR Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2022	J	`jnl`	Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. CoRR Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2021	J	`jnl`	Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. CoRR Arash Asgharivaskasi, Nikolay Atanasov
2021	A*	`conf`	Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. ICRA Arash Asgharivaskasi, Nikolay Atanasov
2021	J	`jnl`	Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. CoRR Arash Asgharivaskasi, Nikolay Atanasov
2021	A	`conf`	Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. IROS Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2021	J	`jnl`	Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. CoRR Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
2021	J	`jnl`	Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. CoRR Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov