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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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Abstract:
This study achieved bidirectional translation between descriptions and actions using small paired data. The ability to mutually generate descriptions and actions is essential for robots to collaborate with humans in their daily lives. The robot is required to associate real-world objects with linguistic expressions, and large-scale paired data are required for machine learning approaches. However, a paired dataset is expensive to construct and difficult to collect. This study proposes a two-stage training method for bidirectional translation. In the proposed method, we train recurrent autoencoders (RAEs) for descriptions and actions with a large amount of non-paired data. Then, we fine-tune the entire model to bind their intermediate representations using small paired data. Because the data used for pre-training do not require pairing, behavior-only data or a large language corpus can be used. We experimentally evaluated our method using a paired dataset consisting of motion-captured actions and ... : 8 pages, 7 figures. Submitted to RA-L (IEEE Robotics and Automation Letters) with IROS 2022 Option. An accompanying video is available at https://youtu.be/YlxM_kw6YLE ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Robotics cs.RO
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URL: https://dx.doi.org/10.48550/arxiv.2203.04218 https://arxiv.org/abs/2203.04218
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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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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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