Force controlled robot for grinding
K. Kashiwagi, Kenji Ono, Eiichi Izumi, Toru Kurenuma, K. Yamada
- Year
- 2002
- Citations
- 32
Abstract
Two algorithms for use in force controlled robot applications have been developed for grinding. The 'gradient prediction method' is presented as an improvement to contour following in the force control mode. In this method, the gradient of the workpiece is predicted, and the force errors caused thereby are corrected. The 'progressive stiffness method' is also presented for grinding using a compliance control mode. In this method, the spring constant is automatically increased according to the grinding remaining, to keep the contact force nearly constant and to obtain an accurate profile. Both algorithms are experimentally tested.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991