An autonomous ice-cream serving robot

Xue, Zhixing; Ruehl, Steffen W.; Hermann, A. M.; Kerscher, Thilo; Dillmann, Ruediger

doi:10.1109/icra.2011.5980335

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…These robots are used for various goals such as cleaning, cooking, healthcare, and serving as a collaborator [28]. Xue et al (2011) studied ice cream serving robots from an engineering standpoint [29]. Neeti et al (2016) explained the birth of a new generation of electronic waiters and analyzed them from a technical perspective [30].…”

Section: Serving Robots' Attributesmentioning

confidence: 99%

Serving Robots: Management and Applications for Restaurant Business Sustainability

Jang

Lee

2020

Sustainability

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This study focuses on the attributes of serving robots, which include “anthropomorphism,” “animacy,” “likeability,” “intelligence,” and “safety,” and their effect on restaurant customers. The study aims to provide a sustainable development model for the restaurant business, which is suffering from a shortage of manpower. The study identifies the relationships among serving robots’ attributes, perceived benefits, perceived risks, perceived value, satisfaction, and revisit intention of customers. An online survey was conducted with customers, aged eighteen years or older, of restaurants that use serving robots. A total of 294 surveys were used for the final analysis. The results indicate that there are statistically significant relationships between “likeability” and perceived benefits, “intelligence” and perceived benefits, “safety” and perceived benefits, and “safety” and perceived risks. It also confirms that perceived benefits have a positive effect on perceived value, and perceived value has a positive effect on satisfaction and revisit intention. Moreover, satisfaction has a positive effect on revisit intention. Based on these findings, several meaningful theoretical and practical implications that can lead to the sustainability of restaurants are presented.

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Section: Serving Robots' Attributesmentioning

confidence: 99%

Serving Robots: Management and Applications for Restaurant Business Sustainability

Jang

Lee

2020

Sustainability

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“…TWENDY-ONE humanoid robot picked up a loaf of bread by a tong [8], but the way of recognition has not been provided. Xue et al has developed a robot which can scoop up ice cream [9]. This robot recognizes only the surface of the ice cream before it scoops up.…”

Section: A Manipulation Of Multi-objects and Failure Recoverymentioning

confidence: 99%

Manipulation of multiple objects in close proximity based on visual hierarchical relationships

Nagahama

Yamazaki

Okada

et al. 2013

2013 IEEE International Conference on Robotics and Automation

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This paper presents a method for daily assistive robots to manipulate objects whose contact relationships are important. In our approach, contact relationships between multiple objects such as "on" and "into" are estimated using the hierarchical relationships between the objects' regions in the images. The hierarchical states are used for failure recovery processes so that the target contact state is achieved. We tested our method in two daily tasks by HRP-2VZ humanoid robot:filing, and serving an egg with a spatula. These results suggested the effectiveness of our approach.

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“…An ongoing trend for research in robotics is the development of robots that can jointly understand human intentions and actions and execute manipulations for human problem domains and tasks [1], [2], [3]. Some of the interesting applications include assistance for the elderly and disabled person [4], [5], [6], cleaning [7], [8], food delivery [9], [10] etc. A key component needed for intelligent and autonomous robots is a knowledge representation [11], which would allow robots to understand its actions in a way that is also interpretable by humans.…”

Section: Introductionmentioning

confidence: 99%

Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems

Sakib¹,

Paulius²,

Sun³

2021

Preprint

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A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can acquire knowledge about its actions or world. However, unlike humans, robots cannot creatively adapt to novel scenarios, as their knowledge and environment are rigidly defined. To address the problem of producing novel and flexible task plans called task trees, we explore how we can derive plans with concepts not originally in the robot's knowledge base. Existing knowledge in the form of a knowledge graph is used as a base of reference to create task trees that are modified with new object or state combinations. To demonstrate the flexibility of our method, we randomly selected recipes from the Recipe1M+ dataset and generated their task trees. The task trees were then thoroughly checked with a visualization tool that portrays how each ingredient changes with each action to produce the desired meal. Our results indicate that the proposed method can produce task plans with high accuracy even for never-before-seen ingredient combinations.

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An autonomous ice-cream serving robot

Cited by 8 publications

References 7 publications

Serving Robots: Management and Applications for Restaurant Business Sustainability

Serving Robots: Management and Applications for Restaurant Business Sustainability

Manipulation of multiple objects in close proximity based on visual hierarchical relationships

Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems

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