Structformer: Learning spatial structure for language-guided semantic rearrangement of novel objects
Geometric organization of objects into semantically meaningful arrangements pervades the
built world. As such, assistive robots operating in warehouses, offices, and homes would …
built world. As such, assistive robots operating in warehouses, offices, and homes would …
Spatial relationship recognition via heterogeneous representation: A review
Y Wang, H Peng, Y Xiong, H Song - Neurocomputing, 2023 - Elsevier
Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …
the image. At present, spatial relationship recognition has received more and more …
LINGO-Space: Language-Conditioned Incremental Grounding for Space
We aim to solve the problem of spatially localizing composite instructions referring to space:
space grounding. Compared to current instance grounding, space grounding is challenging …
space grounding. Compared to current instance grounding, space grounding is challenging …
Discovering intrinsic spatial-temporal logic rules to explain human actions
We propose an interpretable model to uncover the behavioral patterns of human movements
by analyzing their trajectories. Our approach is based on the belief that human actions are …
by analyzing their trajectories. Our approach is based on the belief that human actions are …
Semantic scene manipulation based on 3d spatial object relations and language instructions
R Kartmann, D Liu, T Asfour - 2020 IEEE-RAS 20th International …, 2021 - ieeexplore.ieee.org
Robot understanding of spatial object relations is key for a symbiotic human-robot
interaction. Understanding the meaning of such relations between objects in a current scene …
interaction. Understanding the meaning of such relations between objects in a current scene …
A comprehensive review of task understanding of command-triggered execution of tasks for service robots
X Xi, S Zhu - Artificial Intelligence Review, 2023 - Springer
Robotics is a cross-disciplinary branch of science and technology, and lays foundation on
mechanics, control, computer science, artificial intelligence, and so on. With the …
mechanics, control, computer science, artificial intelligence, and so on. With the …
System of robot learning from multi-modal demonstration and natural language instruction
S Lu, J Berger, J Schilp - Procedia CIRP, 2022 - Elsevier
Collaborative robots are set to play an important role in the future of the manufacturing
industry. They need to be able to work outside of the fencing and perform new tasks to …
industry. They need to be able to work outside of the fencing and perform new tasks to …
[HTML][HTML] Implicit Shape Model Trees: Recognition of 3-D Indoor Scenes and Prediction of Object Poses for Mobile Robots
P Meißner, R Dillmann - robotics, 2023 - mdpi.com
This article describes an approach for mobile robots to identify scenes in configurations of
objects spread across dense environments. This identification is enabled by intertwining the …
objects spread across dense environments. This identification is enabled by intertwining the …
Interactive and incremental learning of spatial object relations from human demonstrations
R Kartmann, T Asfour - Frontiers in Robotics and AI, 2023 - frontiersin.org
Humans use semantic concepts such as spatial relations between objects to describe
scenes and communicate tasks such as “Put the tea to the right of the cup” or “Move the …
scenes and communicate tasks such as “Put the tea to the right of the cup” or “Move the …