| contributor author | Zhao, Baoliang | |
| contributor author | Nelson, Carl A. | |
| date accessioned | 2017-05-09T01:21:56Z | |
| date available | 2017-05-09T01:21:56Z | |
| date issued | 2015 | |
| identifier issn | 1932-6181 | |
| identifier other | med_009_04_041012.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/159189 | |
| description abstract | Robotic minimally invasive surgery (RMIS) has achieved success in various procedures; however, the lack of haptic feedback is considered by some to be a limiting factor. The typical method to acquire tool–tissue reaction forces is attaching force sensors on surgical tools, but this complicates sterilization and makes the tool bulky. This paper explores the feasibility of using motor current to estimate tooltissue forces and demonstrates acceptable results in terms of time delay and accuracy. This sensorless force estimation method sheds new light on the possibility of equipping existing robotic surgical systems with haptic interfaces that require no sensors and are compatible with existing sterilization methods. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Sensorless Force Sensing for Minimally Invasive Surgery | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 4 | |
| journal title | Journal of Medical Devices | |
| identifier doi | 10.1115/1.4031282 | |
| journal fristpage | 41012 | |
| journal lastpage | 41012 | |
| identifier eissn | 1932-619X | |
| tree | Journal of Medical Devices:;2015:;volume( 009 ):;issue: 004 | |
| contenttype | Fulltext | |