Human localization in robotized warehouses based on stereo odometry and ground-marker fusion

Popović, Goran; Cvišić, Igor; Écorchard, Gaël; Marković, Ivan; Přeučil, Libor; Petrović, Ivan

doi:10.1016/j.rcim.2021.102241

Cited by 12 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the warehouse is modest, increased efficiency in this study still necessitates human services for loading and unloading goods. The usage of a more current technology, such as an autonomous robot system, has been implemented, resulting in higher productivity and job quality [28][29][30]. However, for small warehouses, the deployment of automated equipment necessitates a more thorough financial feasibility examination.…”

Section: Resultsmentioning

confidence: 99%

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

Kusrini¹,

Prakoso²,

Hidayatuloh³

2022

MMEP

View full text Add to dashboard Cite

Warehouse has an important role in supply chain management and has many complex activities that require special attention. This study aims to improve warehouse efficiency performance. Data Envelopment Analysis (DEA) method is employed to obtain the level of efficiency and benchmarking on five indicators, namely financial, productivity, utilization, quality, and cycle time along with five business processes in warehousing, i.e. receiving, put away, storage, order picking, and shipping. The decision making unit is a warehouse in four retailers in Yogyakarta province, in Indonesia. The input and output variables are selected based on the highest priority weight using the Analytical Hierarchy Process (AHP). The most important variable for receiving is productivity (receipt per man-hour), variable for put away is cycle time (put away cycle time), variable for storage is utilization (% location and cube occupied), variable for order picking is cycle time (order picking cycle time) and variable for shipping is productivity (order prepared for shipment per man-hour). The research results show that the benchmarking model with DEA can be used to increase warehouse efficiency performance by up to 22% by increasing receiving and shipping productivity, increasing storage utilization and reducing cycle time at put away and order picking.

show abstract

Section: Resultsmentioning

confidence: 99%

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

Kusrini¹,

Prakoso²,

Hidayatuloh³

2022

MMEP

View full text Add to dashboard Cite

show abstract

“…Te graph nodes store camera odometry, along with visual information from depth images, RGB images, and SURF features quantized into an incremental visual dictionary (visual words), used by the closed-loop detection algorithm [30,31]. Te algorithm allows establishing matches between the current camera location and previous locations of already visited sites employing the bag-of-words method [32].…”

Section: Rtab-mapmentioning

confidence: 99%

Three-Dimensional Location and Mapping Analysis in Mobile Robotics Based on Visual SLAM Methods

Acosta-Amaya,

Cadavid-Jimenez,

Jimenez-Builes

2023

Journal of Robotics

View full text Add to dashboard Cite

One of the essential tasks required from a mobile robot is the autonomous and safe navigation of its working environment. However, in many cases, a model of the environment or map is not available to execute this task. Indeed, navigation requires a permanent estimation of the location for a map, which is not available for unknown environments. In such a scenario, the robot must have extended capabilities to solve, concurrently, the problems of localization and mapping. The simultaneous solution of these two problems is known as SLAM (simultaneous localization and mapping) and is a complex problem, not yet fully solved by the scientific community. This is due to the fact that localization requires a map that is not yet available since it is still under construction. In turn, the elaboration of a map requires the estimation of the robot’s location. This is the reason why SLAM has been categorized as similar to the chicken and egg problem. In the case of a robot facing an unknown environment, it would be something like what to solve first, localization or mapping? The answer to this question is that the robot will have to solve both problems at the same time. This article presents a study of some of the most representative open source visual SLAM (vSLAM) methods, beginning from an analysis of their characteristics and presenting criteria selection for an experimental design that allows contrasting their advantages and disadvantages. Two of the most representative algorithms for solving vSLAM were considered (RTAB-Map and ORB-SLAM2). The experiments were validated with a robotic system designed for this purpose, which is fully compatible with ROS (robot operating system).

show abstract

“…[4] presents a search-based algorithm for generating time-optimal trajectory for picking and transporting parts using a mobile manipulator between workstations and storages, and the process of loading components (several or one at a time) into feeders and machines. [5]. In order to give full play to the potential and efficiency advantage of the robotic system and split the cost, practical robotic warehousing systems usually contain a large number of mobile robots.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Multi-Function Logistics Robots for Intelligent Warehousing

Wang,

Hao,

Chen

2024

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

The collaborative task of logistics robots is a very big challenge for the intelligent warehousing industry. In order to improve the effectiveness of task deployment for intelligent warehousing, this paper proposes a novel strategy of collaborative tasks for logistics robots, which includes three different functional robots, named transport robot which is used for transportation tasks, mobile manipulator used for sorting goods, and pick-and-place robot. All of these robots have an omnidirectional mobile base, which allows them to move in any direction, rotate in place, and navigate with the artificial potential Field (APF). Finally, the experimental verification proves clearly that the logistics robot cooperates well to complete the tasks of outbound and inbound goods and shows great flexibility under an unstructured environment.

show abstract

Human localization in robotized warehouses based on stereo odometry and ground-marker fusion

Cited by 12 publications

References 19 publications

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

Three-Dimensional Location and Mapping Analysis in Mobile Robotics Based on Visual SLAM Methods

Design and Implementation of Multi-Function Logistics Robots for Intelligent Warehousing

Contact Info

Product

Resources

About