activity
20172022
most citedlamBERT: Language and Action Learning Using Multimodal BERT

11 citations · 19 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO20222 cited

Overview of Dialogue Robot Competition 2022

Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3

Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attem…

cs.AI2021

A Framework of Explanation Generation toward Reliable Autonomous Robots

Tatsuya Sakai, Kazuki Miyazawa, Takato Horii +1

To realize autonomous collaborative robots, it is important to increase the trust that users have in them. Toward this goal, this paper proposes an algorithm which endows an autono…

cs.AI2021

Explainable Autonomous Robots: A Survey and Perspective

Tatsuya Sakai, Takayuki Nagai

Advanced communication protocols are critical to enable the coexistence of autonomous robots with humans. Thus, the development of explanatory capabilities is an urgent first step…

cs.LG202011 cited

lamBERT: Language and Action Learning Using Multimodal BERT

Kazuki Miyazawa, Tatsuya Aoki, Takato Horii +1

Recently, the bidirectional encoder representations from transformers (BERT) model has attracted much attention in the field of natural language processing, owing to its high perfo…

cs.AI2018

Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks

Chie Hieida, Takato Horii, Takayuki Nagai

Emotions are very important for human intelligence. For example, emotions are closely related to the appraisal of the internal bodily state and external stimuli. This helps us to r…

cs.AI20176 cited

SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi

To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand the environment through a variety of sensors with which they are…