MAMPF: An Intelligent Cooking Agent for Zoneless Stoves

Reichel, Sven; Müller, Timo; Stamm, Oliver; Groh, Fabian; Wiedersheim, Björn; Weber, Michael

doi:10.1109/ie.2011.18

Cited by 12 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the candidate tasks is cooperative cooking task. The cooperative cooking task is one of the major HRI task; several related works have been proposed in robotics field [11] [12] and human-agent interaction field [13]. This task domain requires recognition of human's behavior, realtime planning according to receipt, dialogue management and so on, those are also required and fit for RoboCup @Home.…”

Section: A Cooking With Me Taskmentioning

confidence: 99%

Long-term large scale human-robot interaction platform through immersive VR system - Development of RoboCup @Home Simulator-

Inamura

Tan

2012

2012 IEEE/SICE International Symposium on System Integration (SII)

View full text Add to dashboard Cite

Research on high level human-robot interaction systems that aims skill acquisition, concept learning, modification of dialogue strategy and so on requires large-scaled experience database based on social and embodied interaction experiments. However, if we use real robot systems, costs for development of robots and performing many experiments will be too huge. If we choose virtual robot simulator, limitation arises on embodied interaction between virtual robots and real users. We thus propose an enhanced robot simulator that enables multiuser to connect to central simulation world, and enables users to join the virtual world through immersive user interface. As an example task, we propose an application to RoboCup @Home tasks. In this paper we explain configuration of our simulator platform and feasibility of the system in RoboCup @Home.

show abstract

Section: A Cooking With Me Taskmentioning

confidence: 99%

Long-term large scale human-robot interaction platform through immersive VR system - Development of RoboCup @Home Simulator-

Inamura

Tan

2012

2012 IEEE/SICE International Symposium on System Integration (SII)

View full text Add to dashboard Cite

show abstract

“…Moreover, the devices used might include those which deviate from standard ones found in the kitchen. Examples include: a robotic arm 4 , oven cameras [26], tracking-recording cameras [27]- [29], automated ingredient scales [27], autonomous stoves [27], [28], accelerometers and RFID readers attached to kitchen objects [29]. The investigation of how these workflows are automatically formed pertains to the field of automated planning [30], which is out of the scope of this paper.…”

Section: B An Abstract Iot Cooking Workflow Should Respectmentioning

confidence: 99%

IoT Cooking Workflows for End-Users: A Comparison Between Behaviour Trees and the DX-MAN Model

Ventirozos

Batista-Navarro

Clinch

et al. 2021

2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

View full text Add to dashboard Cite

A kitchen underpinned by the Internet of Things (IoT) requires the management of complex procedural processes. This is due to the fact that when supporting an end-user in the preparation of even only one dish, various devices may need to coordinate with each other. Additionally, it is challengingyet desirable-to enable an end-user to program their kitchen devices according to their preferred behaviour and to allow them to visualise and track their cooking workflows. In this paper, we compared two semantic representations, namely, Behaviour Trees and the DX-MAN model. We analysed these representations based on their suitability for a range of endusers (i.e., novice to experienced). The methodology required the analysis of smart kitchen user requirements, from which we inferred that the main architectural requirements for IoT cooking workflows are variability and compositionality. Guided by the user requirements, we examined various scenarios and analysed workflow complexity and feasibility for each representation. On the one hand, we found that execution complexity tends to be higher on Behaviour Trees. However, due to their fallback node, they provide more transparency on how to recover from unprecedented circumstances. On the other hand, parameter complexity tends to be somewhat higher for the DX-MAN model. Nevertheless, the DX-MAN model can be favourable due to its compositionality aspect and the ease of visualisation it can offer.

show abstract

“…Furthermore, a compositional adaptation approach for cooking recipes represented as cooking workflows has been presented by Muller et al [15]. Reichel et al, investigated and developed MAMPF, a multifunctional, adaptive meal preparation facility, as a versatile and adaptive kitchen system allowing inexperienced users to create recipes [16]. Russo et al, supported people's memory and coordination by using RFID tags for cooking instructions [17].…”

Section: State Of the Art: Ubiquitous Computing For The Cooking Processmentioning

confidence: 99%

A Co-Design Approach for a Smart Cooking Appliance. The Application of a Domain Specific Language

Zallio

Kelly

Cryan³

et al. 2021

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Our environment, whether at work, in public spaces, or at home, is becoming more connected, adaptive and increasingly responsive. This is due in part to the significant number of sensors that detect information and data around us. Connected technologies are also emerging as a support to address daily challenges for people with disabilities and for ageing people, bringing care from hospitals into the community and increased provision of health services into homes. Meal preparation, even when it involves simply heating ready-made food can be perceived as a complex process for people with disabilities. This research aimed to prototype, using a co-Design approach a Community Supported Appliance (CSA) by developing a Domain Specific Language (DSL), precisely created for a semi/automated cooking process. The DSL was shaped and expressed in the users' idiom and allowed the CSA to support independence for users while performing daily cooking activities.

show abstract

MAMPF: An Intelligent Cooking Agent for Zoneless Stoves

Cited by 12 publications

References 14 publications

Long-term large scale human-robot interaction platform through immersive VR system - Development of RoboCup @Home Simulator-

Long-term large scale human-robot interaction platform through immersive VR system - Development of RoboCup @Home Simulator-

IoT Cooking Workflows for End-Users: A Comparison Between Behaviour Trees and the DX-MAN Model

A Co-Design Approach for a Smart Cooking Appliance. The Application of a Domain Specific Language

Contact Info

Product

Resources

About