A fast collision-free motion planning method for underactuated robots based on genetic algorithm

2008 ◽  
Author(s):  
Qingbo Liu ◽  
Yueqing Yu ◽  
Liying Su ◽  
Qixiao Xia
Keyword(s):  
Genetic Algorithm ◽  
Motion Planning ◽  
Planning Method ◽  
Free Motion ◽  
Underactuated Robots ◽  
Fast Collision

Fast Collision-Free Motion Planning for Robots by Using Direct Kinematic Solutions

1992 ◽  
Vol 25 (8) ◽  
pp. 655-662
Author(s):  
Murat Yesilleten ◽  
Ahmet Denker
Keyword(s):  
Motion Planning ◽  
Free Motion ◽  
Fast Collision

Fast Collision-Free Motion-Planning for Robot Manipulators Based on Parallelized Algorithms

1991 ◽  
Vol 24 (9) ◽  
pp. 253-258
Author(s):  
B. Fink ◽  
H.-D. Wend
Keyword(s):  
Motion Planning ◽  
Robot Manipulators ◽  
Free Motion ◽  
Fast Collision

Hierarchical Robot Control Including Fast Collision-Free Motion-Planning

1989 ◽  
Vol 22 (10) ◽  
pp. 379-384 ◽  
Author(s):  
B. Fink ◽  
H.-D. Wend
Keyword(s):  
Motion Planning ◽  
Robot Control ◽  
Free Motion ◽  
Fast Collision

Collision-free motion planning for the litchi-picking robot

2021 ◽  
Vol 185 ◽  
pp. 106151
Author(s):  
Lei Ye ◽  
Jieli Duan ◽  
Zhou Yang ◽  
Xiangjun Zou ◽  
Mingyou Chen ◽  
...  
Keyword(s):  
Motion Planning ◽  
Free Motion

ADD-RRV for motion planning in complex environments

Robotica ◽  
2021 ◽  
pp. 1-18
Author(s):  
Peng Cai ◽  
Xiaokui Yue ◽  
Hongwen Zhang
Keyword(s):  
Principal Component Analysis ◽  
Motion Planning ◽  
Configuration Space ◽  
Principal Component ◽  
Component Analysis ◽  
Planning Method ◽  
Complex Environments ◽  
Local Configuration ◽  
Narrow Passage

Abstract In this paper, we present a novel sampling-based motion planning method in various complex environments, especially with narrow passages. We use online the results of the planner in the ADD-RRT framework to identify the types of the local configuration space based on the principal component analysis (PCA). The identification result is then used to accelerate the expansion similar to RRV around obstacles and through narrow passages. We also propose a modified bridge test to identify the entrance of a narrow passage and boost samples inside it. We have compared our method with known motion planners in several scenarios through simulations. Our method shows the best performance across all the tested planners in the tested scenarios.

Collision-Free Motion Planning of Two Robots

1987 ◽  
Vol 17 (1) ◽  
pp. 21-32 ◽  
Author(s):  
B. Lee ◽  
C. G. Lee
Keyword(s):  
Motion Planning ◽  
Free Motion
Sign in / Sign up

Export Citation Format

Share Document