A brief review of affordance in robotic manipulation research

Natsuki Yamanobe; Weiwei Wan; Ixchel G. Ramirez-Alpizar; Damien Petit; Tokuo Tsuji; Shuichi Akizuki; Manabu Hashimoto; Kazuyuki Nagata; Kensuke Harada

doi:10.1080/01691864.2017.1394912

A brief review of affordance in robotic manipulation research

Natsuki Yamanobe, Weiwei Wan, Ixchel G. Ramirez-Alpizar, Damien Petit, Tokuo Tsuji, Shuichi Akizuki, Manabu Hashimoto, Kazuyuki Nagata, Kensuke Harada

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

This paper presents a brief review of affordance research in robotics, with special concentrations on its applications in grasping and manipulation of objects. The concept of affordance could be a key to realize human-like advanced manipulation intelligence. First, we discuss the concept of affordance while associating with the applications in robotics. Then, we intensively explore the studies that utilize affordance for robotic manipulation applications, such as object recognition, grasping, and object manipulation including tool-use. They obtain and use affordance by several ways like learning from human, using simulation, and real-world execution. Moreover, we show our current work, which is a cloud database for advanced manipulation intelligence. The database accumulates various data related to manipulation task execution and will be an open platform to leverage various affordance techniques.

Original language	English
Pages (from-to)	1086-1101
Number of pages	16
Journal	Advanced Robotics
Volume	31
Issue number	19-20
DOIs	https://doi.org/10.1080/01691864.2017.1394912
Publication status	Published - 2017 Oct 18

Keywords

Affordance
grasping
manipulation

ASJC Scopus subject areas

Control and Systems Engineering
Software
Human-Computer Interaction
Hardware and Architecture
Computer Science Applications

Access to Document

10.1080/01691864.2017.1394912

Cite this

@article{6073b0f3423e4d1bae8a39bda9b335ac,

title = "A brief review of affordance in robotic manipulation research",

abstract = "This paper presents a brief review of affordance research in robotics, with special concentrations on its applications in grasping and manipulation of objects. The concept of affordance could be a key to realize human-like advanced manipulation intelligence. First, we discuss the concept of affordance while associating with the applications in robotics. Then, we intensively explore the studies that utilize affordance for robotic manipulation applications, such as object recognition, grasping, and object manipulation including tool-use. They obtain and use affordance by several ways like learning from human, using simulation, and real-world execution. Moreover, we show our current work, which is a cloud database for advanced manipulation intelligence. The database accumulates various data related to manipulation task execution and will be an open platform to leverage various affordance techniques.",

keywords = "Affordance, grasping, manipulation",

author = "Natsuki Yamanobe and Weiwei Wan and Ramirez-Alpizar, {Ixchel G.} and Damien Petit and Tokuo Tsuji and Shuichi Akizuki and Manabu Hashimoto and Kazuyuki Nagata and Kensuke Harada",

year = "2017",

month = oct,

day = "18",

doi = "10.1080/01691864.2017.1394912",

language = "English",

volume = "31",

pages = "1086--1101",

journal = "Advanced Robotics",

issn = "0169-1864",

publisher = "Taylor and Francis Ltd.",

number = "19-20",

}

TY - JOUR

T1 - A brief review of affordance in robotic manipulation research

AU - Yamanobe, Natsuki

AU - Wan, Weiwei

AU - Ramirez-Alpizar, Ixchel G.

AU - Petit, Damien

AU - Tsuji, Tokuo

AU - Akizuki, Shuichi

AU - Hashimoto, Manabu

AU - Nagata, Kazuyuki

AU - Harada, Kensuke

PY - 2017/10/18

Y1 - 2017/10/18

N2 - This paper presents a brief review of affordance research in robotics, with special concentrations on its applications in grasping and manipulation of objects. The concept of affordance could be a key to realize human-like advanced manipulation intelligence. First, we discuss the concept of affordance while associating with the applications in robotics. Then, we intensively explore the studies that utilize affordance for robotic manipulation applications, such as object recognition, grasping, and object manipulation including tool-use. They obtain and use affordance by several ways like learning from human, using simulation, and real-world execution. Moreover, we show our current work, which is a cloud database for advanced manipulation intelligence. The database accumulates various data related to manipulation task execution and will be an open platform to leverage various affordance techniques.

AB - This paper presents a brief review of affordance research in robotics, with special concentrations on its applications in grasping and manipulation of objects. The concept of affordance could be a key to realize human-like advanced manipulation intelligence. First, we discuss the concept of affordance while associating with the applications in robotics. Then, we intensively explore the studies that utilize affordance for robotic manipulation applications, such as object recognition, grasping, and object manipulation including tool-use. They obtain and use affordance by several ways like learning from human, using simulation, and real-world execution. Moreover, we show our current work, which is a cloud database for advanced manipulation intelligence. The database accumulates various data related to manipulation task execution and will be an open platform to leverage various affordance techniques.

KW - Affordance

KW - grasping

KW - manipulation

UR - http://www.scopus.com/inward/record.url?scp=85032700862&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85032700862&partnerID=8YFLogxK

U2 - 10.1080/01691864.2017.1394912

DO - 10.1080/01691864.2017.1394912

M3 - Article

AN - SCOPUS:85032700862

VL - 31

SP - 1086

EP - 1101

JO - Advanced Robotics

JF - Advanced Robotics

SN - 0169-1864

IS - 19-20

ER -

A brief review of affordance in robotic manipulation research

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this