Open AccessDissertation
Learning What To Say And What To Do: A Model For Grounding Language And Actions
Alexandre Antunes
- 01 Jan 2020
About: The article was published on 01 Jan 2020. and is currently open access. The article focuses on the topics: Developmental robotics.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
References
From human instructions to robot actions: Formulation of goals, affordances and probabilistic planning
Alexandre Antunes,Lorenzo Jamone,Giovanni Saponaro,Alexandre Bernardino,Rodrigo Ventura +4 more
- 16 May 2016
TL;DR: A general cognitive architecture to deal with the problem of having a robot executing motor tasks requested by a human through spoken language is proposed, based on three steps: language-based semantic reasoning on the instruction, formulation of goals in robot symbols and probabilistic planning to achieve them, and action execution.
48
Continuous-Time recurrent neural networks for generative and interactive musical performance
Oliver Bown,Sebastian Lexer +1 more
TL;DR: It is proposed that even randomly generated CTRNNs can be used in musically interesting ways, and that evolution can be employed to produce networks which exhibit properties that are suitable for use in interactive improvisation by computer musicians.
Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition
TL;DR: Novel results of complex action learning experiments based on the use of extended multiple timescales recurrent neural networks (MTRNN) are presented, showing that the model was able to learn and successfully reproduce multiple behavioural sequences of actions in an object manipulation task scenario using large-scale MTRNNs.
18
Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research
Martin Peniak,Anthony F. Morse,Christopher Larcombe,Salomon Ramirez-Contla,Angelo Cangelosi +4 more
- 03 Oct 2011
TL;DR: A novel open-source software application, Aquila, developed as a part of the ITALK and RobotDoC projects, addresses the need for high-performance robot control by adopting the latest parallel processing paradigm, based on the NVidia CUDA technology.
17
Modeling tool-body assimilation using second-order Recurrent Neural Network
Shun Nishide,Tatsuhiro Nakagawa,Tetsuya Ogata,Jun Tani,Toru Takahashi,Hiroshi G. Okuno +5 more
- 10 Oct 2009
TL;DR: The results of the experiment show that the tool-body assimilation model is capable of applying to unknown objects to generate goal-oriented motions.