NDLI: Robot oriented state space construction

Content Provider	IEEE Xplore Digital Library
Author	Ishiguro, H. Sato, R. Ishida, T.
Copyright Year	1996
Description	Author affiliation: Dept. of Inf. Sci., Kyoto Univ., Japan (Ishiguro, H.)
Abstract	The state space of a sensor-based robot in the most previous works has been determined based on human intuitions, however the state space constructed from human viewpoints is not always appropriate for the robot. The robot has a different body, sensors, and tasks, therefore, we consider the robot should have an original internal state space determined based on actions, sensors, and tasks. This paper proposes an approach to construct such a robot oriented state space by statistically analyzing the actions, sensor patterns, and rewards given, as results of task executions. In the state space construction, the robot creates sensor pattern classifiers called empirically obtained perceivers (EOPs) the combinations of which represents internal states of the robot. We have confirmed that the robot can construct original state spaces through its vision sensor and achieve navigation tasks with the obtained state spaces in a complicated simulated world.
Starting Page	1496
Ending Page	1501
File Size	800187
Page Count	6
File Format	PDF
ISBN	078033213X
DOI	10.1109/IROS.1996.569011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Orbital robotics State-space methods Robot sensing systems Humans Robot vision systems Optical sensors Intelligent sensors Artificial intelligence Machine learning algorithms Image motion analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards an understanding of camera fixation

Construction of state space in RoboCup

Using Control And Vision For Space Applications

Development of a vision-based behavior by reinforcement learning

Development of an intelligent robotic aid to the physically handicapped

Competitive learning based approaches to tool-wear identification

Vision-based reinforcement learning for purposive behavior acquisition

A distributed intelligent robot system based on microcomputers

Robotic agent control combining reactive and learning capabilities

Robot oriented state space construction

Similar Documents

Towards an understanding of camera fixation

Construction of state space in RoboCup

Using Control And Vision For Space Applications

Development of a vision-based behavior by reinforcement learning

Development of an intelligent robotic aid to the physically handicapped

Competitive learning based approaches to tool-wear identification

Vision-based reinforcement learning for purposive behavior acquisition

A distributed intelligent robot system based on microcomputers

Robotic agent control combining reactive and learning capabilities

Robot oriented state space construction