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08/30/2023
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model
The application of the Large Language Model (LLM) to robot action planni...
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06/26/2023
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics
A deep learning-based approach can generalize model performance while re...
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04/12/2023
Force Map: Learning to Predict Contact Force Distribution from Vision
When humans see a scene, they can roughly imagine the forces applied to ...
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06/29/2022
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use
Sufficiently perceiving the environment is a critical factor in robot mo...
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05/09/2022
Multi-Fingered In-Hand Manipulation with Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors
Multi-fingered hands could be used to achieve many dexterous manipulatio...
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03/08/2022
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data
This study achieved bidirectional translation between descriptions and a...
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02/26/2022
Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs
We propose a new method for collision-free path planning by Conditional ...
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02/21/2022
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction
Learning to control a robot commonly requires mapping between robot stat...
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02/15/2022
Collision-free Path Planning in the Latent Space through cGANs
We show a new method for collision-free path planning by cGANs by mappin...
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12/13/2021
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility
We achieved contact-rich flexible object manipulation, which was difficu...
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11/04/2021
Sensory attenuation develops as a result of sensorimotor experience
The brain attenuates its responses to self-produced exteroceptions (e.g....
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07/01/2021
Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA
A neural network based flexible object manipulation system for a humanoi...
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06/04/2021
How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
Selection of appropriate tools and use of them when performing daily tas...
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04/17/2021
Embodying Pre-Trained Word Embeddings Through Robot Actions
We propose a promising neural network model with which to acquire a grou...
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03/17/2021
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
In this study, we report the successful execution of in-air knotting of ...
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03/02/2021
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation
Deep learning provides a powerful framework for automated acquisition of...
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01/18/2021
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask
In recent years, a variety of tasks have been accomplished by deep reinf...
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03/31/2020
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Japanese character figurines are popular and have pivot position in Otak...
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03/10/2020
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network
For robotic applications, its task performance and operation must be gua...
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03/08/2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning
While robots can learn models to solve many manipulation tasks from raw ...
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11/07/2018
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments
Casual conversations involving multiple speakers and noises from surroun...
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09/28/2018
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability
Current end-to-end deep learning driving models have two problems: (1) P...
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09/23/2018
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
We propose a tool-use model that can detect the features of tools, targe...
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07/03/2018
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation
A deep recurrent neural network with audio input is applied to model bas...
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04/17/2018
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Studies suggest that within the hierarchical architecture, the topologic...
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04/11/2018
AFA-PredNet: The action modulation within predictive coding
The predictive processing (PP) hypothesizes that the predictive inferenc...
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12/14/2017
Online Motion Generation with Sensory Information and Instructions by Hierarchical RNN
This paper proposes an approach for robots to perform co-working task al...
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09/14/2017
General problem solving with category theory
This paper proposes a formal cognitive framework for problem solving bas...
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02/07/2017
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
The abstraction tasks are challenging for multi- modal sequences as they...
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05/11/2016
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
The paper presents a neurorobotics cognitive model to explain the unders...
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09/29/2015
