Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. - Arash Asgharivaskasi; Nikolay Atanasov 001 (ICRA, 2021)

Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories. - Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (IROS, 2021)

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. - Arash Asgharivaskasi; Nikolay Atanasov 001 (CoRR, 2021)

Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach. - Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (ACC, 2022)

Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories. - Arash Asgharivaskasi; Shumon Koga; Nikolay Atanasov 001 (IROS, 2022)

Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. - Daniel T. Larsson; Arash Asgharivaskasi; Jaein Lim; Nikolay Atanasov 001; Panagiotis Tsiotras (ICRA, 2023)

Learning Continuous Control Policies for Information-Theoretic Active Perception. - Pengzhi Yang; Yuhan Liu; Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (ICRA, 2023)

Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. - Pengzhi Yang; Shumon Koga; Arash Asgharivaskasi; Nikolay Atanasov 001 (L4DC, 2023)

Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration. - Arash Asgharivaskasi; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2023)

Optimal Scene Graph Planning with Large Language Model Guidance. - Zhirui Dai; Arash Asgharivaskasi; Thai Duong 001; Shusen Lin; Maria-Elizabeth Tzes; George J. Pappas; Nikolay Atanasov 001 (ICRA, 2024)

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping. - Arash Asgharivaskasi; Nikolay Atanasov 001 (CoRR, 2024)

Riemannian Optimization for Active Mapping With Robot Teams. - Arash Asgharivaskasi; Fritz Girke; Nikolay Atanasov 001 (IEEE Trans. Robotics, 2025)