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20242026
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cs.RO2026

SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation

F. Labra Caso, A. Saradagi, S. Fredriksson +3

Subterranean (SubT) environments have been a frontier for autonomous robotics, driven by the push for automation of mining operations and the interest in planetary exploration (Mar…

cs.RO2026

Fast Expanding Safe Circular Regions for Efficient Local Path Planning

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

Local navigation is one of the fundamental problems in robot navigation, and numerous approaches have been proposed over the years, including methods such as the Dynamic Window App…

cs.RO2026

An Adaptive Inspection Planning Approach Towards Routine Monitoring in Uncertain Environments

Vignesh Kottayam Viswanathan, Yifan Bai, Scott Fredriksson +3

In this work, we present a hierarchical framework designed to support robotic inspection under environment uncertainty. By leveraging a known environment model, existing methods pl…

cs.RO2025

Multi-Agent Path Finding Using Conflict-Based Search and Structural-Semantic Topometric Maps

Scott Fredriksson, Yifan Bai, Akshit Saradagi +1

As industries increasingly adopt large robotic fleets, there is a pressing need for computationally efficient, practical, and optimal conflict-free path planning for multiple robot…

cs.RO2024

Voxel Map to Occupancy Map Conversion Using Free Space Projection for Efficient Map Representation for Aerial and Ground Robots

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

This article introduces a novel method for converting 3D voxel maps, commonly utilized by robots for localization and navigation, into 2D occupancy maps for both unmanned aerial ve…

cs.RO2024

Robotic Exploration through Semantic Topometric Mapping

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

In this article, we introduce a novel strategy for robotic exploration in unknown environments using a semantic topometric map. As it will be presented, the semantic topometric map…