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Sebastian Pütz

5 accepted papers

2024

MICP-L: Mesh-based ICP for Robot Localization Using Hardware-Accelerated Ray Casting

IROS 2024poster

Triangle mesh maps are a versatile 3D environment representation for robots to navigate in challenging indoor and outdoor environments exhibiting tunnels, hills and varying slopes. To make use of these mesh maps, methods are needed to accurately localize robots in such maps to perform essential task…

Cited by 3SourcecodeScholar
2024

Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets

ICRA 2024poster

The increasing usage of modern AI techniques represents a transforming shift in the robotics domain. Training and accessing new models requires substantial amounts of application-specific data, but the limited resources onboard mobile robots (like processing power, network bandwidth, etc.) pose a ch…

Cited by 1SourceScholar
2021

Continuous Shortest Path Vector Field Navigation on 3D Triangular Meshes for Mobile Robots

ICRA 2021poster

We present a highly efficient approach to compute continuous shortest path vector fields on arbitrarily shaped 3D triangular meshes for robot navigation in complex real-world outdoor environments. The continuity of the vector field allows to query the shortest distance, direction and geodesic path t…

Cited by 33SourceScholar
2018

Move Base Flex A Highly Flexible Navigation Framework for Mobile Robots

IROS 2018poster

We present Move Base Flex (MBF), a highly flexible, modular, map-independent, open-source navigation framework for use in ROS. MBF provides modular actions for executing plugins for path planning, motion control, and recovery. These actions define interfaces for external executives to allow highly f…

Cited by 88SourceScholar