A Study of Robotizing Daily Items For an Autonomous Carrying System-Development of person following shopping cart robot

Nishimura, Shoji; Itou, Kenichi; Kikuchi, Takashi; Takemura, Hiroshi; Mizoguchi, Hiroshi

doi:10.1109/icarcv.2006.345272

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…In recent years, some studies have addressed the idea of developing an autonomous shopping cart. As an example, the possibility of developing a porting system for large-sized facilities like a shopping mall or an airport is studied in [4, 5]. To achieve this purpose, they have attached a drive system to a shopping cart, in order to transmit power to the cart wheels.…”

Section: Review Of Developed Systemsmentioning

confidence: 99%

“…In this paper we present a person following shopping cart and assistance robot named CompaRob, the companion robot ( Figure 1), capable of easily helping elderly people to carry products in a supermarket. First of all, the paper presents a survey of related systems designed to help people in supermarkets and commercial malls [1][2][3] and to help people shopping and carrying their articles in a supermarket [4,5] using different approaches, such as attachable modules and computer vision. After that, the paper describes in detail the proposed system: a mobile platform that implements person following behaviour that uses ultrasound and radio transmissions technology to provide robustness and ease of use from the point of view of the user.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CompaRob: The Shopping Cart Assistance Robot

Sales

Martí

Marı́n

et al. 2016

International Journal of Distributed Sensor Networks

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Technology has recently been developed which offers an excellent opportunity to design systems with the ability to help people in their own houses. In particular, assisting elderly people in their environments is something that can significantly improve their quality of life. However, helping elderly people outside their usual environment is also necessary, to help them to carry out daily tasks like shopping. In this paper we present a person-following shopping cart assistance robot, capable of helping elderly people to carry products in a supermarket. First of all, the paper presents a survey of related systems that perform this task, using different approaches, such as attachable modules and computer vision. After that, the paper describes in detail the proposed system and its main features. The cart uses ultrasonic sensors and radio signals to provide a simple and effective person localization and following method. Moreover, the cart can be connected to a portable device like a smartphone or tablet, thus providing ease of use to the end user. The prototype has been tested in a grocery store, while simulations have been done to analyse its scalability in larger spaces where multiple robots could coexist.

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Section: Review Of Developed Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CompaRob: The Shopping Cart Assistance Robot

Sales

Martí

Marı́n

et al. 2016

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…In recent years, significant advancements in robotic technology have led to the widespread implementation of human‐following robots across various domains, including healthcare [1], warehousing [2] and retail environments [3]. Despite their increasing popularity and diverse applications, these robots continue to encounter several critical challenges that must be addressed to fully realise their potential.…”

Section: Introductionmentioning

confidence: 99%

An efficient and robust system for human following scenario using differential robot

Zhu,

Ma,

et al. 2024

IET Cyber-Syst and Robotics

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A novel system for human following using a differential robot, including an accurate 3‐D human position tracking module and a novel planning strategy that ensures safety and dynamic feasibility, is proposed. The authors utilise a combination of gimbal camera and LiDAR for long‐term accurate human detection. Then the planning module takes the target's future trajectory as a reference to generate a coarse path to ensure the following visibility. After that, the trajectory is optimised considering other constraints and following distance. Experiments demonstrate the robustness and efficiency of our system in complex environments, demonstrating its potential in various applications.

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“…The ability to track a target while avoiding occlusion and collision from the environment forms a key building block in many applications such as cinematography [1], cooperative navigation [2], [3], robot-assistant [4] in hospitals, and warehouses. There are two core challenges towards computing an optimal tracking trajectory.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Multi-Convex Model Predictive Control for Occlusion Free Target Tracking

Masnavi¹,

Adajania²,

Kruusamäe³

et al. 2022

Preprint

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This paper proposes a Model Predictive Control(MPC) algorithm for target tracking amongst static and dy?namic obstacles. Our main contribution lies in improving thecomputational tractability and reliability of the underlying non?convex trajectory optimization. The result is an MPC algorithmthat runs real-time on laptops and embedded hardware devicessuch as Jetson TX2. Our approach relies on novel reformu?lations for the tracking, collision, and occlusion constraintsthat induce a multi-convex structure in the resulting trajectoryoptimization. We exploit these mathematical structures usingthe split Bregman Iteration technique, eventually reducing ourMPC to a series of convex Quadratic Programs solvable in afew milliseconds. The fast re-planning of our MPC allows forocclusion and collision-free tracking in complex environmentseven while considering a simple constant-velocity predictionfor the target trajectory and dynamic obstacles. We performextensive bench-marking in a realistic physics engine and showthat our MPC outperforms the state-of-the-art algorithms invisibility, smoothness, and computation-time metrics.

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A Study of Robotizing Daily Items For an Autonomous Carrying System-Development of person following shopping cart robot

Cited by 13 publications

References 6 publications

CompaRob: The Shopping Cart Assistance Robot

CompaRob: The Shopping Cart Assistance Robot

An efficient and robust system for human following scenario using differential robot

Real-Time Multi-Convex Model Predictive Control for Occlusion Free Target Tracking

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