scholarly journals A cutting-plane algorithm for minimum-time trajectory planning of industrial robots

2002 ◽  
Author(s):  
A. Piazzi ◽  
A. Visioli
Keyword(s):  
Trajectory Planning ◽  
Cutting Plane ◽  
Industrial Robots ◽  
Minimum Time ◽  
Cutting Plane Algorithm

Validation of Minimum Time-Jerk Algorithms for Trajectory Planning of Industrial Robots

2011 ◽  
Vol 3 (3) ◽  
Author(s):  
A. Gasparetto ◽  
A. Lanzutti ◽  
R. Vidoni ◽  
V. Zanotto
Keyword(s):  
Dynamic Model ◽  
Trajectory Planning ◽  
Experimental Analysis ◽  
Execution Time ◽  
Industrial Robot ◽  
Experimental Tests ◽  
Industrial Robots ◽  
Minimum Time ◽  
Mechanical Constraints ◽  
Planning Algorithm

In this paper, an experimental analysis and validation of a minimum time-jerk trajectory planning algorithm is presented. The technique considers both the execution time and the integral of the squared jerk along the whole trajectory, so as to take into account the need for fast execution and the need for a smooth trajectory, by adjusting the values of two weights. The experimental tests have been carried out by using an accelerometer mounted on a Cartesian robot. The algorithm does not require a dynamic model of the robot, but just its mechanical constraints, and can be implemented in any industrial robot. The outcomes of the tests have been compared with both simulation and experimental results yielded by two trajectory planning algorithms taken from the literature.

scholarly journals A force/motion control approach based on trajectory planning for industrial robots with closed control architecture

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Alejandro GutierreznGiles ◽  
Luis U. EvangelistanHernandez ◽  
Marco A. Arteaga ◽  
Carlos A. CruznVillar ◽  
Alejandro RodrigueznAngeles
Keyword(s):  
Motion Control ◽  
Trajectory Planning ◽  
Industrial Robots ◽  
Control Architecture ◽  
Control Approach

Experimental Validation of Minimum Time-jerk Algorithms for Industrial Robots

2011 ◽  
Vol 64 (2) ◽  
pp. 197-219 ◽  
Author(s):  
Vanni Zanotto ◽  
Alessandro Gasparetto ◽  
Albano Lanzutti ◽  
Paolo Boscariol ◽  
Renato Vidoni
Keyword(s):  
Experimental Validation ◽  
Industrial Robots ◽  
Minimum Time

Trajectory planning for coordinately operating robots

1990 ◽  
Vol 4 (3) ◽  
pp. 165-177 ◽  
Author(s):  
Y. P. Chien ◽  
Qing Xue
Keyword(s):  
Trajectory Planning ◽  
Three Dimensional ◽  
Initial Position ◽  
Minimum Time ◽  
Future Research ◽  
Rigid Object ◽  
Redundant Robots ◽  
Planning Algorithm ◽  
The Common ◽  
Joint Velocity

An efficient locally minimum-time trajectory planning algorithm for coordinately operating multiple robots is introduced. The task of the robots is to carry a common rigid object from an initial position to a final position along a given path in three-dimensional workspace in minimum time. The number of robots in the system is arbitrary. In the proposed algorithm, the desired motion of the common object carried by the robots is used as the key to planning of the trajectories of all the non-redundant robots involved. The search method is used in the trajectory planning. The planned robot trajectories satisfy the joint velocity, acceleration and torque constraints as well as the path constraints. The other constraints such as collision-free constraints, can be easily incorporated into the trajectory planning in future research.

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