Survey results on status, needs and perspectives for using mobile service robots in industrial applications

Kroll, Andreas; Soldan, Samuel

doi:10.1109/icarcv.2010.5707243

Cited by 5 publications

(9 citation statements)

References 2 publications

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“…Industries need robotic systems which are flexible, modular and easily customizable to the requirements of different production processes. A mobile robot with manipulation capabilities represents a valid solution for achieving the level of flexibility required by modern industrial processes (Kroll and Soldan, 2010). Most of the possible alternative solutions, like gantry mechanisms or robots running on conveyor systems need a highlystructured environment, and they could turn out to be completely useless in the case of environment changes.…”

Section: Introductionmentioning

confidence: 99%

A Mobile Service Robot for Industrial Applications

Lattanzi¹,

Angione²,

Cristalli³

et al. 2012

Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics

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This paper addresses the challenge of introducing mobile robots in industrial applications, where changes in the working environment and diversification of tasks require flexibility, adaptability and in some cases basic reasoning capabilities. Classical industrial robots hardly permit to meet these requirements, so a new concept of service robots facing challenging industrial production system needs is proposed. The realization of such an autonomous agent is illustrated and described in details, focusing on mobility, environmental perception and manipulation capabilities. The result is a mobile service robot able to face changeable conditions as well as unexpected situations and different kinds of manipulation tasks in industrial environments. In this paper an implementation dedicated to household appliances production is described, but the results achieved can be easily extended to many industrial sectors, goods and electromechanical components where high levels of flexibility and autonomy are needed.

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Section: Introductionmentioning

confidence: 99%

A Mobile Service Robot for Industrial Applications

Lattanzi¹,

Angione²,

Cristalli³

et al. 2012

Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics

View full text Add to dashboard Cite

show abstract

“…In recent years, the studies in service robotics have become very popular [2]. Service robots can be examined in three subsystems which are mobile robotic base, manipulator and sensor systems [1][2][3]. Sensing and identifying objects in dynamic environment are very important to develop control algorithms for service robots.…”

Section: Introductionmentioning

confidence: 99%

“…Sensing and identifying objects in dynamic environment are very important to develop control algorithms for service robots. On this topic, there are many researches in the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. There are many studies and researches in the literature on this topic [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…They will have a common usage area and be a part of our daily life after Industry 4.0 revolution. In recent years, the studies in service robotics have become very popular [2]. Service robots can be examined in three subsystems which are mobile robotic base, manipulator and sensor systems [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…Different types of sensors are used for obstacle detection [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Especially, LiDAR (Light Detection and Ranging) is used extensively in both indoor and outdoor applications [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Object Detection and Identification System for a Mobile Robot Control

Aydin¹,

Erdemir²

2017

Balkan Journal of Electrical and Computer Engineering

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The one of the features of mobile robot control is to detect and to identify objects in workspace. Especially, autonomous systems must detect obstacles and then revise actual trajectories according to new conditions. Hence, many solutions and approaches can be found in literature. Different sensors and cameras are used to solve problem by many researchers. Different type sensors usage can affect not only system performance but also operational cost. In this study, single camera based obstacle detection and identification algorithm was developed to control omni-drive mobile robot systems. Objects and obstacles, which are in robot view, are detected and identified their coordinates by using developed algorithms dynamically. Developed algorithm was tested on Festo Robotino mobile robot. Proposed approach offers not only cost efficiency but also short process time.

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DepthLiDAR: Active Segmentation of Environment Depth Map Into Mobile Sensors

et al. 2021

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This paper presents a novel approach for creating virtual LiDAR scanners through the active segmentation of point clouds. The method employs top-view point cloud segmentation in virtual LiDAR sensors that can be applied to the intelligent behavior of autonomous agents. Segmentation is correlated with the visual tracking of the agent for localization in the environment and point cloud. Virtual LiDAR sensors with different characteristics and positions can then be generated. This method is referred to as the DepthLiDAR approach, and is rigorously evaluated to quantify its performance and determine its advantages and limitations. An extensive set of experiments is conducted using real and virtual LiDAR sensors to compare both approaches. The objective is to propose a novel method to incorporate spatial perception in warehouses, aiming to achieve Industry 4.0. Thus, it is tested in a low-scale warehouse to incorporate realistic features. The analysis of the experiments shows a measurement improvement of 52.24% compared to the conventional LiDAR.

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Survey results on status, needs and perspectives for using mobile service robots in industrial applications

Cited by 5 publications

References 2 publications

A Mobile Service Robot for Industrial Applications

A Mobile Service Robot for Industrial Applications

An Object Detection and Identification System for a Mobile Robot Control

DepthLiDAR: Active Segmentation of Environment Depth Map Into Mobile Sensors

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