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Autonomous Robots

Autonomous Robots OnlineFirst articles


Hierarchical topometric representation of 3D robotic maps

In this paper, we propose a method for generating a hierarchical, volumetric topological map from 3D point clouds. There are three basic hierarchical levels in our map: $$storey - region - volume$$ s t o r e y - r e g i o n - v o l u m e . The …

09.06.2021 Open Access

How to train your differentiable filter

In many robotic applications, it is crucial to maintain a belief about the state of a system, which serves as input for planning and decision making and provides feedback during task execution. Bayesian Filtering algorithms address this state …


Sensor fusion of two sonar devices for underwater 3D mapping with an AUV

We present herein a three-dimensional (3D) mapping method in one-way rectilinear scanning with an autonomous underwater vehicle (AUV) equipped with a forward looking sonar (FLS) and a profiling sonar (PS). Three-dimensional reconstruction using …


Transfer learning of coverage functions via invariant properties in the fourier domain

The robotics community has been paying more attention to coverage functions due to their variant applications (e.g., spatial search and mapping, etc.). Due to their submodularity, greedy algorithms can find solutions with theoretical guarantees …


Sequence-based visual place recognition: a scale-space approach for boundary detection

In the field of visual Place Recognition (vPR), sequence-based techniques have received close attention since they combine visual information from multiple measurements to enhance the results. This paper is concerned with the task of identifying …

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Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development.

The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.

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