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Paul Szenher

7 accepted papers

2026

Above and Below: Heterogeneous Multi-Robot SLAM Across Surface and Underwater Domains

RA-L 2026

Multi-robot simultaneous localization and mapping (SLAM) is a fundamental task in multi-robot operations. Robots must have a common understanding of their location and that of their team members to complete coordinated actions. However, multi-robot SLAM between Uncrewed Surface Vessels (USVs) and Au

Cited by 3SourcecodeScholar
2026

Above and Below: Heterogeneous Multi-Robot SLAM across Surface and Underwater Domains

ICRA 2026poster

Multi-robot simultaneous localization and mapping (SLAM) is a fundamental task in multi-robot operations. Robots must have a common understanding of their location and that of their team members to complete coordinated actions. However, multi-robot SLAM between Uncrewed Surface Vessels (USVs) and Au…

2025

Distributional Reinforcement Learning Based Integrated Decision Making and Control for Autonomous Surface Vehicles

RA-L 2025

With the growing demands for Autonomous Surface Vehicles (ASVs) in recent years, the number of ASVs being deployed for various maritime missions is expected to increase rapidly in the near future. However, it is still challenging for ASVs to perform sensor-based autonomous navigation in obstacle-fil

Cited by 5SourcecodeScholar
2025

Opti-Acoustic Scene Reconstruction in Highly Turbid Underwater Environments

IROS 2025

Scene reconstruction is an essential capability for underwater robots navigating in close proximity to structures. Monocular vision-based reconstruction methods are unreliable in turbid waters and lack depth scale information. Sonars are robust to turbid water and non-uniform lighting conditions, ho

Cited by 4SourceScholar
2024

Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps

ICRA 2024poster

Reliable localization is an essential capability for marine robots navigating in GPS-denied environments. SLAM, commonly used to mitigate dead reckoning errors, still fails in feature-sparse environments or with limited-range sensors. Pose estimation can be improved by incorporating the uncertainty…

Cited by 0SourceScholar
2022

DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams

IROS 2022poster

An essential task for a multi-robot system is generating a common understanding of the environment and relative poses between robots. Cooperative tasks can be executed only when a vehicle has knowledge of its own state and the states of the team members. However, this has primarily been achieved wit…

Cited by 17SourcecodeScholar
2021

Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty

ICRA 2021poster

This paper studies the problem of autonomous exploration under localization uncertainty for a mobile robot with 3D range sensing. We present a framework for self-learning a high-performance exploration policy in a single simulation environment, and transferring it to other environments, which may be…

Cited by 24SourceScholar