| Full text | |
| Author(s): |
Marinho, Murilo Marques
[1]
;
Adorno, Bruno Vilhena
[2]
;
Harada, Kanako
[1]
;
Mitsuishi, Mamoru
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Tokyo, Dept Mech Engn, Tokyo 1138656 - Japan
[2] Univ Fed Minas Gerais, Dept Elect Engn, BR-31270901 Belo Horizonte, MG - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Robotics; v. 35, n. 5, p. 1166-1185, OCT 2019. |
| Web of Science Citations: | 2 |
| Abstract | |
Robotic assistance allows surgeons to perform dexterous and tremor-free procedures, but robotic aid is still under-represented in procedures with constrained workspaces, such as deep brain neurosurgery and endonasal surgery. In these procedures, surgeons have restricted vision to areas near the surgical tooltips, which increases the risk of unexpected collisions between the shafts of the instruments and their surroundings. In this paper, our vector-field-inequalities method is extended to provide dynamic active-constraints to any number of robots and moving objects sharing the same workspace. The method is evaluated with experiments and simulations in which robot tools have to avoid collisions autonomously and in real-time, in a constrained endonasal surgical environment. Simulations show that with our method the combined trajectory error of two robotic systems is optimal. Experiments using a real robotic system show that the method can autonomously prevent collisions between the moving robots themselves and between the robots and the environment. Moreover, the framework is also successfully verified under teleoperation with tool-tissue interactions. (AU) | |
| FAPESP's process: | 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment |
| Grantee: | Marco Henrique Terra |
| Support Opportunities: | Research Projects - Thematic Grants |