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From Biological Synapses to “Intelligent” Robots
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In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Finding the best way to put media bias research into practice via an annotation app ...
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Are neural language models sensitive to false belief? A computational study. ...
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Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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Can distributional semantics explain performance on the false belief task? ...
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Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following ...
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Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation ...
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Interactive Robotic Grasping with Attribute-Guided Disambiguation ...
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Abstract:
Interactive robotic grasping using natural language is one of the most fundamental tasks in human-robot interaction. However, language can be a source of ambiguity, particularly when there are ambiguous visual or linguistic contents. This paper investigates the use of object attributes in disambiguation and develops an interactive grasping system capable of effectively resolving ambiguities via dialogues. Our approach first predicts target scores and attribute scores through vision-and-language grounding. To handle ambiguous objects and commands, we propose an attribute-guided formulation of the partially observable Markov decision process (Attr-POMDP) for disambiguation. The Attr-POMDP utilizes target and attribute scores as the observation model to calculate the expected return of an attribute-based (e.g., "what is the color of the target, red or green?") or a pointing-based (e.g., "do you mean this one?") question. Our disambiguation module runs in real time on a real robot, and the interactive grasping ... : Accepted to the IEEE International Conference on Robotics and Automation (ICRA 2022). Project page: https://sites.google.com/umn.edu/attr-disam ...
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Keyword:
FOS Computer and information sciences; Robotics cs.RO
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URL: https://arxiv.org/abs/2203.08037 https://dx.doi.org/10.48550/arxiv.2203.08037
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The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ...
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The Construction of the Robot in Language and Culture, “Intercultural Robotics” and the “Third Robot Culture” ...
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Cheng, Lin. - : Technology and Language, 3(1), 1-8, 2022
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The influence of animacy on perspective-taking and word order during language production ...
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Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ...
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Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
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In: Research outputs 2014 to 2021 (2022)
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Integrating Blockchains and Intelligent Agents in the Pursuit of Artificial General Intelligence
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In: Senior Honors Theses (2022)
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