In-vitro optically aided robotics manipulation

Ching Seong Tan, Chia Loon Cheng, Kok Siang Chia

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

This paper demonstrates the embedded application of a novel manipulator design for field robotics applications, specifically for underwater robotics applications. The In-Vitro Optically Aided Robotic Manipulation (IVOARM) constitutes a blind grasping concept using two anthropomorphic fingers with the aid of the directional force sensors and infra-red sensors mounted on it. This design is potentially useful in underwater marine sample manipulation tasks as it includes non-contact and contact based sensing at the finger tips. This manipulator is controlled by an embedded system with high DSP compatibility. The infra-red sensors are mounted on the surface of the finger gripper to detect the presence of the object in the area of the grasping. Our finding shows that the infra-red sensor is capable of differentiating the water condition due to temperature effect. The size and centroid of the object is determined with the aid of the in-vitro embedded infra-red sensors. We proposes a centroid estimation algorithm to determine the size and initiate the grasping configuration of the object. The results of the object size determination using the IVOARM is presented.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics, RAM 2011
Pages326-331
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics, RAM 2011 - Qingdao, China
Duration: 17 Sept 201119 Sept 2011

Publication series

NameIEEE Conference on Robotics, Automation and Mechatronics, RAM - Proceedings
ISSN (Print)2158-219X

Conference

Conference2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics, RAM 2011
Country/TerritoryChina
CityQingdao
Period17/09/1119/09/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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