Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kensuke Sato

dblp:33/6373 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 100%
Artificial intelligence
2 papers
Video understanding and tracking · 72% Face, body and person analysis · 28%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
emotion expression
0.012000
An Anthropomorphic Head-Eye Robot Expressing Emotions Based on Equations of Emotion · ICRA 2000
Human-robot interaction
social robot
0.012000
An Anthropomorphic Head-Eye Robot Expressing Emotions Based on Equations of Emotion · ICRA 2000
Computer vision › Video understanding and tracking
object tracking
0.011998
Development of an Anthropomorphic Head-Eye System for a Humanoid Robot-Realization of Human-Like Head-Eye Motion Using Eyelids Adjusting to Brightness · ICRA 1998
Computer vision › Face, body and person analysis
facial expression
0.012000
An Anthropomorphic Head-Eye Robot Expressing Emotions Based on Equations of Emotion · ICRA 2000

Methods — techniques the papers use, named apart from their topics

temperature sensing · 0.1tactile sensing · 0.1equations of emotion · 0.1eyelid adjustment · 0.0brightness adaptation · 0.0
YearPublicationVenuePosition
2000 An Anthropomorphic Head-Eye Robot Expressing Emotions Based on Equations of Emotion
abstract
The authors have been developing anthropomorphic head-eye robots, in order to elucidate the human vision system from an engineering point of view, and to develop a new head mechanism and function for a humanoid robot having the ability to communicate naturally with a human. We developed an anthropomorphic head-eye robot "WE-3R III" (Waseda Eye No.3 Refined III) having auditory sensation, cutaneous sensation and a facial expression mechanism with eyes, eyelids, eyebrows, lips, a jaw and a neck. It is said that the human cutaneous sensations include contact, pressure, cold, warmth and pain, so a tactile sensor and a temperature sensor were mounted on the robot. For the tactile sensor, we adopted a force sensing resistor. We think that the difference in touching methods such as 'push', 'stroke' and 'hit' have an effect on emotion, therefore we developed the method for recognizing those differences, and installed it in the robot. By improving and rebuilding the artificial psychological model of WE-3RII using a new concept-equations of emotion-in a 3D mental space, we realized expression of the mental state affected by various stimuli with WE-3R III.
Atsuo Takanishi, Kensuke Sato, Kunio Segawa, Hideaki Takanobu, Hiroyasu Miwa
ICRA2
1998 Development of an Anthropomorphic Head-Eye System for a Humanoid Robot-Realization of Human-Like Head-Eye Motion Using Eyelids Adjusting to Brightness
abstract
In this study the authors have been developing anthropomorphic head-eye robots, in order to elucidate the human vision system from an engineering point of view, and to develop a new human-friendly communication system. We developed an anthropomorphic head-eye robot "WE-3R" (Waseda Eye No.3 Refined) as a human-friendly head-eye subsystem of a humanoid robot "Hadaly-2". WE-3R has eyelids as hardware, while the functions of retina (adaptation) and iris (adjustment of the pupil diameter) are realized as software so WE-3R can adjust to brightness. The system can pursue objects in 3 dimensional space with adjusting to the brightness in a human-like manner that can be considered important for smooth and natural human-robot interaction.
Atsuo Takanishi, Satoshi Hirano, Kensuke Sato
ICRA3