2022
DOI: 10.1109/tro.2021.3108506
|View full text |Cite
|
Sign up to set email alerts
|

Trajectory Planning and Optimization for Robotic Machining Based On Measured Point Cloud

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 57 publications
(12 citation statements)
references
References 38 publications
0
12
0
Order By: Relevance
“…The first typical robot machining mode usually employs industrial manipulator with fixed bases to accomplish tasks such as grinding [3], milling [4][5][6], and drilling [7]. From the viewpoint of the robots' fixed base, this mode does not expand the robots' operating space, and mainly uses the dexterity of the 6-degree-of-freedom robot to achieve flexible machining.…”
Section: Industrial Manipulatormentioning
confidence: 99%
“…The first typical robot machining mode usually employs industrial manipulator with fixed bases to accomplish tasks such as grinding [3], milling [4][5][6], and drilling [7]. From the viewpoint of the robots' fixed base, this mode does not expand the robots' operating space, and mainly uses the dexterity of the 6-degree-of-freedom robot to achieve flexible machining.…”
Section: Industrial Manipulatormentioning
confidence: 99%
“…According to the given starting point and destination, a trajectory is planned that satisfies the task requirements in time and space [ 5 ]. At present, most of the research results of motion trajectory planning theory originate from the fields of aircraft [ 6 ], industrial robots [ 7 ], unmanned aerial vehicles [ 8 ] and autonomous vehicles [ 9 ], while research on trajectory planning in the field of AUVs is still in the initial exploration stage. Trajectory optimization is usually solved in two steps: trajectory optimization model transformation and parameter optimization.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Javad Jahanpour [24] adopted NURBS curves to plan path and obtained a smooth trajectory. Some scholars [25, 26] used B-splines and obtained smooth velocity, acceleration, and jerk. Tian [27] used polynomial method and can evaluate the trajectory to an optimal one quickly.…”
Section: Introductionmentioning
confidence: 99%