Arash Asgharivaskasi

According to our database, Arash Asgharivaskasi authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Riemannian Optimization for Active Mapping with Robot Teams.

Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov

CoRR, 2024

Distributed Optimization with Consensus Constraint for Multi-Robot Semantic Octree Mapping.

Arash Asgharivaskasi, Nikolay Atanasov

CoRR, 2024

Optimal Scene Graph Planning with Large Language Model Guidance.

Zhirui Dai, Arash Asgharivaskasi, Thai Duong, Shusen Lin, Maria-Elizabeth Tzes, George J. Pappas, Nikolay Atanasov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration.

Arash Asgharivaskasi, Nikolay Atanasov

IEEE Trans. Robotics, June, 2023

Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories.

Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Continuous Control Policies for Information-Theoretic Active Perception.

Pengzhi Yang, Yuhan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning.

Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories.

Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach.

Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

Proceedings of the American Control Conference, 2022

2021

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation.

Arash Asgharivaskasi, Nikolay Atanasov

CoRR, 2021

Active Exploration and Mapping via Iterative Covariance Regulation over Continuous SE(3) Trajectories.

Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations.

Arash Asgharivaskasi, Nikolay Atanasov

Proceedings of the IEEE International Conference on Robotics and Automation, 2021