TY - GEN
T1 - Integration of a sub-crawlers' autonomous control in Quince highly mobile rescue robot
AU - Rohmer, Eric
AU - Ohno, Kazunori
AU - Yoshida, Tomoaki
AU - Nagatani, Keiji
AU - Konayagi, Eiji
AU - Tadokoro, Satoshi
PY - 2010
Y1 - 2010
N2 - Rapid information gathering during the initial stage of investigation is an important process in case of disasters. However this task could be very risky for human rescue crews, when the infrastructure of the building has been compromised or the environment contaminated by nuclear, biological, or chemical weapons. To be able to develop robots that can go inside the site instead of humans, several area of robotics need to be addressed and integrated inside a common robotic platform. In this paper, we described the modular interoperable and extensive hardware and software architecture of Quince, a high degree of mobility crawler type rescue robot having four independent sub-crawlers. To facilitate Quince's navigability, we developed and integrated a semi-autonomous control algorithm that helps the remote operator driving Quince while the flippers are autonomously adjusting to the environment. The robot is then able to overcome obstacles and steps without a special training of the operator. We present here the software integration and the control strategy of the flippers using the embedded basic version of Quince.
AB - Rapid information gathering during the initial stage of investigation is an important process in case of disasters. However this task could be very risky for human rescue crews, when the infrastructure of the building has been compromised or the environment contaminated by nuclear, biological, or chemical weapons. To be able to develop robots that can go inside the site instead of humans, several area of robotics need to be addressed and integrated inside a common robotic platform. In this paper, we described the modular interoperable and extensive hardware and software architecture of Quince, a high degree of mobility crawler type rescue robot having four independent sub-crawlers. To facilitate Quince's navigability, we developed and integrated a semi-autonomous control algorithm that helps the remote operator driving Quince while the flippers are autonomously adjusting to the environment. The robot is then able to overcome obstacles and steps without a special training of the operator. We present here the software integration and the control strategy of the flippers using the embedded basic version of Quince.
UR - http://www.scopus.com/inward/record.url?scp=79952798490&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952798490&partnerID=8YFLogxK
U2 - 10.1109/SII.2010.5708305
DO - 10.1109/SII.2010.5708305
M3 - Conference contribution
AN - SCOPUS:79952798490
SN - 9781424493159
T3 - 2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings
SP - 78
EP - 83
BT - 2010 IEEE/SICE International Symposium on System Integration
T2 - 3rd International Symposium on System Integration, SII 2010
Y2 - 21 December 2010 through 22 December 2010
ER -