most citedActive Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022

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

Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim +2

In this paper, we develop an approach that enables autonomous robots to build and compress semantic environment representations from point-cloud data. Our approach builds a three-d…

cs.RO2022

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

Arash Asgharivaskasi, Shumon Koga, Nikolay Atanasov

The problem of active mapping aims to plan an informative sequence of sensing views given a limited budget such as distance traveled. This paper consider active occupancy grid mapp…

cs.RO2021

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

Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

This paper proposes a novel active Simultaneous Localization and Mapping (SLAM) method with continuous trajectory optimization over a stochastic robot dynamics model. The problem i…

cs.RO2021

Active Exploration and Mapping via Iterative Covariance Regulation over Continuous Trajectories

Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

This paper develops \emph{iterative Covariance Regulation} (iCR), a novel method for active exploration and mapping for a mobile robot equipped with on-board sensors. The problem i…

cs.RO20213 cited

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

Arash Asgharivaskasi, Nikolay Atanasov

Many robot applications call for autonomous exploration and mapping of unknown and unstructured environments. Information-based exploration techniques, such as Cauchy-Schwarz quadr…