TY - GEN
T1 - Trajectory planning for mobile robot with kinodynamic constraints
AU - Kwon, Hyunki
AU - Park, Seongyong
AU - Moon, Chang Bae
AU - Chung, Woojin
N1 - Funding Information:
This work was supported by the NRF grant funded by the MSIP(NRF-2014R1A2A1A10049634), also supported by the ICCTDP(No. 10063172) funded by MOTIE, Korea, also supported by the ICCTDP(No. 10048474) funded by MOTIE, Korea, also supported by Agriculture, Food and Rural Affairs Research Center Support Program(714002-07), MAFRA.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - In this research, we present a new algorithm for trajectory generation of two-wheeled mobile robots. The proposed methods is based on Rapidly exploring Random Tree (RRT) method and expands its structure with two different tree structure. By using dual tree, the proposed scheme can generate feasible path with low cost.
AB - In this research, we present a new algorithm for trajectory generation of two-wheeled mobile robots. The proposed methods is based on Rapidly exploring Random Tree (RRT) method and expands its structure with two different tree structure. By using dual tree, the proposed scheme can generate feasible path with low cost.
KW - Path planning
KW - RRT
KW - Trajectory Generation
KW - Two wheeled mobile robot
UR - http://www.scopus.com/inward/record.url?scp=85034267410&partnerID=8YFLogxK
U2 - 10.1109/URAI.2017.7992859
DO - 10.1109/URAI.2017.7992859
M3 - Conference contribution
AN - SCOPUS:85034267410
T3 - 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
SP - 893
EP - 894
BT - 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Y2 - 28 June 2017 through 1 July 2017
ER -