DocumentCode :
3180126
Title :
Force feedback without sensor: A preliminary study on haptic modeling
Author :
Zhenglong Sun ; Zheng Wang ; Soo Jay Phee
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2012
fDate :
24-27 June 2012
Firstpage :
1182
Lastpage :
1187
Abstract :
Haptic feedback is an active trend in robotic surgery. However, it is not always feasible to place physical force sensors on the robotic tool-tips due to size or other constraints. Haptic modeling of the organ/tissue could be an alternative approach to provide estimated force information from available data. In this paper, we investigate haptic modeling to provide real-time force estimation in endoscopic surgery. Viscoelastic behavior of the gastrointestinal organ/tissue needs to be taken into consideration. Hence, we proposed a modified haptic model based on commonly-used lumped models, in order to restore the tool-tissue interaction force by using the robot motion. Performance of this approach was evaluated by ex-vivo experiments. The proposed model is capable of approximating the interaction force. Discussions were made on possible limitations and problems in the implementation of such approach.
Keywords :
biological organs; biological tissues; endoscopes; force control; force feedback; haptic interfaces; medical robotics; motion control; surgery; viscoelasticity; endoscopic surgery; force feedback; force information estimation; gastrointestinal organ; gastrointestinal tissue; haptic feedback; lumped model; organ haptic modeling; physical force sensor; real-time force estimation; robot motion; robotic surgery; robotic tool-tip; tissue haptic modeling; tool-tissue interaction force; viscoelastic behavior; Estimation; Force; Haptic interfaces; Mathematical model; Robot sensing systems; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location :
Rome
ISSN :
2155-1774
Print_ISBN :
978-1-4577-1199-2
Type :
conf
DOI :
10.1109/BioRob.2012.6290279
Filename :
6290279
Link To Document :
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