Robotic roommates making pancakes

By Michael Beetz, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Lorenz Mösenlechner, Dejan Pangercic, Thomas Rühr, Moritz Tenorth. 2011

249 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Robotics & Control

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Citations in the corpus

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks (2019, background): “In general, they are limited to a few scenes [34], consider a small number of objects [29], or use the same environment for training and testing [7].”
DeepMPC: Learning Deep Latent Features for Model Predictive Control (2015, neutral): “compliant, force-based activities [5, 2, 15].”
Unsupervised Semantic Parsing of Video Collections (2015, background): “The recent advances [5, 7] in robotics use the parsed recipe in order to perform cooking tasks.”
Gated-Attention Architectures for Task-Oriented Language Grounding (2017, background): “Some of the work that aims to ground navigational instructions include Guadarrama et al. (2013), Bollini et al. (2013) and Beetz et al. (2011), where the focus was to ground verbs like go, follow, etc and spatial relations of verbs (Tellex et al., 2011; Fasola and Mataric, 2013).”
Data-Driven Grasp Synthesis—A Survey (2013, background): “Furthermore, we have recently seen an increasing amount of robots fulﬁlling very speciﬁc tasks such as towel folding [114] or preparing pancakes [125].”
KnowRob: A knowledge processing infrastructure for cognition-enabled robots (2013, methodology): “The KNOWROB system has been used in several integrated experiments, for example to provide robots with information needed for making pancakes (Beetz et al., 2011), for inferring which objects are missing in an incomplete tabletop setup (Pangercic et al.”
Cooking with Semantics (2014, background): “In the domain of food recipes, there have already been several demonstrations (e.g., (Beetz et al., 2011; Bollini et al., 2013)) of robots automatically cooking meals based on recipes.”
Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions (2014, background): “Other than the works discussed in the introduction (Beetz et al., 2011; Bollini et al., 2012; Guadarrama et al., 2013; Marco et al., 2012), the problem of navigation has been addressed by using learned models for verbs such as follow, meet, go, and dynamic spatial relations such as walk close to…”
An Overview of 3D Printing Technologies for Food Fabrication (2015, background): “Motion libraries embedded into these robots can perform cooking tasks, through basic actions such as picking up an object, putting it down, or pouring (Beetz et al. 2011).”
Envisioning the qualitative effects of robot manipulation actions using simulation-based projections (2017, background): “This switch is done mainly for historical reasons as the original work on making pancakes started with Rosie (Beetz et al., 2011).”
Interpreting and Executing Recipes with a Cooking Robot (2012, background): “[2] have demonstrated dispensing pancake batter from a premixed container and flipping the pancakes on a skillet.”
Natural Language Acquisition and Grounding for Embodied Robotic Systems (2017, background): “Researchers also combined linguistic descriptions from the web with visual features from images to teach their robots different actions, such as setting a table in Dubba et al. (2014), or making pancakes in Beetz et al. (2011).”
Synthesizing Environment-Aware Activities via Activity Sketches (2019, background): “Our work is more closely related to semantic planning [9, 20, 3], which focus on modeling sequences of composite and semantically loaded actions.”
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition (2019, background): “There are examples of robots performing complex tasks such as loading a dishwasher [1] or flipping pancakes [2].”
Robots That Use Language (2020, background): “Cascianelli et al. d by communicate with a person about aspects of the environment. s p r ov i d 4.2.3.”