Tobias Doernbach — accepted AI-conference papers

2025

Fast-Revisit Coverage Path Planning for Autonomous Mobile Patrol Robots Using Long-Range Sensor Information

Srinivas Kachavarapu, Tobias Doernbach, Reinhard Gerndt

IROS 2025

The utilization of Unmanned Ground Vehicles (UGVs) for patrolling industrial sites has expanded significantly. These UGVs typically are equipped with perception systems, e.g., computer vision, with limited range due to sensor limitations or site topology. High-level control of the UGVs requires Cove

Cited by 1 Source ↗Scholar ↗

2018

Robust Continuous System Integration for Critical Deep-Sea Robot Operations Using Knowledge-Enabled Simulation in the Loop

Christian A. Mueller, Tobias Doernbach, Arturo Gomez Chavez, Daniel Köhntopp, Andreas Birk

IROS 2018poster

Deep-sea robot operations demand a high level of safety, efficiency and reliability. As a consequence, measures within the development stage have to be implemented to extensively evaluate and benchmark system components ranging from data acquisition, perception and localization to control. We presen…

Cited by 14 Source ↗Scholar ↗