Open Access
Issue |
JNWPU
Volume 38, Number 2, April 2020
|
|
---|---|---|
Page(s) | 392 - 400 | |
DOI | https://doi.org/10.1051/jnwpu/20203820392 | |
Published online | 17 July 2020 |
- Cai Hegao. Robot Will be a Hot Spot of Technological Development in the Twenty First Century[J]. China Mechanical Engineering, 2000(1): 67–69 10.3321/j.issn:1004-132X.2000.01.018 (in Chinese) [Google Scholar]
- Qi Ruolong, Zhou Weijia, Wang Tiejun. An Obstacle Avoidance Trajectory Planning Scheme for Space Manipulators Based on Genetic Algorithm[J]. Robot, 2014, 36(3): 263–270 [Article] (in Chinese) [Google Scholar]
- Dong H, Du Z J. Obstacle Avoidance Path Planning of Planar Redundant Manipulators Using Workspace Density[J]. International Journal of Advanced Robotic Systems, 2015, 12: 9 10.5772/59973 [NASA ADS] [CrossRef] [Google Scholar]
- LIU J, LIU R, SHEN X, et al. Research on Obstacle Avoidance of Space Manipulators Based on Cylindrical Bounding Box Model[C]//2018 IEEE International Conference on Mechatronics and Automation, Changchun, 2018: 1926–1931 [Google Scholar]
- Ismail M, Lahouar S, Romdhane L. Collision-Free and Dynamically Feasible Trajectory of a Hybrid Cable-Serial Robot with Two Passive Links[J]. Robot Auton Syst, 2016, 80: 24–33 10.1016/j.robot.2016.03.001 [CrossRef] [Google Scholar]
- Adeli Hossein, Tabrizi M H N, Mazloomian Alborz, et al. Path Planning for Mobile Robots Using Iterative Artificial Potential Field Method[J]. International Journal of Computer Science Issue, 2011, 8(44): 28–32 [Article] [Google Scholar]
- Veras Lgdo, Medeiros Fll, Guimaraes Lnf. Rapidly Exploring Random Tree with a Sampling Method Based on Sukharev Grids and Convex Vertices of Safety Hulls of Obstacles[J]. International Journal of Advanced Robotic Systems, 2019, 16(1): 1–19 [Article] [NASA ADS] [Google Scholar]
- Park B, Chun W K. Efficient Environment Representation for Mobile Robot Path Planning Using CVT-PRM with Halton sampling[J]. Electronics Letters, 2012, 48(22): 1397–1399 10.1049/el.2012.2894 [NASA ADS] [CrossRef] [Google Scholar]
- Chen Zhuo, Su Weihua, Li Bin, et al. An Intermediate Point Obstacle Avoidance Algorithm for Serial Robot[J]. Advances in Mechanical Engineering, 2018, 10(5): 1–15 [CrossRef] [Google Scholar]
- Sun Yue, Wei Xin. Trajectory Planning of Palletizing Robot Based on Quintic Polynomial[J]. Packaging Engineering, 2017, 38(21): 159–163 [Article] (in Chinese) [Google Scholar]
- Tang Hong, Li Liangzhi, Xiao Nanfeng. Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing[J]. Sensors, 2017, 17(2): 393 10.3390/s17020393 [NASA ADS] [CrossRef] [Google Scholar]
- Zhang Wenjia, Shang Weiwei, Zhang Bin, et al. Stiffness-Based Trajectory Planning of a 6-DOF Cable-Driven Parallel Manipulator[J], Journal of Mechanical Engineering Science, 2017, 231(21): 3999–4011 10.1177/0954406216659893 [CrossRef] [Google Scholar]
- Ren Weide, Sun Wenxin. Application of an Improved Ant Colony Algorithm in TSP Problem Solving[J]. Chemical Engineering Transactions, 2016, 51: 73–378 [Article] [Google Scholar]
- Franzin A, Stutzle T. Revisiting Simulated Annealing:a Component-Based Analysis[J]. Computers & Operations Research, 2019, 104: 191–206 [Article] [CrossRef] [Google Scholar]
- Fang Qun, Xu Qing. 3D Route Planning for UAV Based on Improved PSO Algorithm[J]. Journal of Northwestern Polytechnical University, 2017, 35(1): 66–73 10.3969/j.issn.1000-2758.2017.01.011 (in Chinese) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.