This paper describes a new approach to the parameterisation of robot excitation trajectories for optimal robot identification. The trajectory parameterisation is based on finite Fourier series. The coefficients of the Fourier series are optimised for minimal sensitivity of the identification to meas
Globally optimal periodic robot joint trajectories
β Scribed by Dan Simon
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 419 KB
- Volume
- 333
- Category
- Article
- ISSN
- 0016-0032
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β¦ Synopsis
This paper presents a new method for the planning of robot trajectories. The method presented assumes that joint-space knots have been generated from Cartesian knots by an inverse kinematics algorithm. The method is based on the globally optimal periodic interpolation scheme derived by Schoenberg, and thus is particularly suited.for periodic robot motions. Of all possible periodic joint trajectories which pass through a specified set of knots, the trajectory derived in this paper is the 'best '. The performance criterion used is the integral (over one period) oJa combination of the square o/the joint velocity and the square of the joint jerk.
π SIMILAR VOLUMES
Abstrnct--A robot trajectory planning problem is considered. Using smooth interpolating cubic splines as joint space trajectories, the path is parameterized in terms of time intervals between knots. A minimum time optimization problem is formulated under maximum torque and velocity constraints, and