Jerk-bounded manipulator trajectory planning: design for real-time applications

By Sonja E. Macfarlane, Elizabeth A. Croft. IEEE Trans. Robotics Autom., 2003

431 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8898277e40cca945a674f6765ed31d733dd90aaa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. I-Ming Chen
2. Ke Zhang
3. Xiao-Shan Gao
4. Teck Chew Ng
5. Hongbo Li
6. Kim Doang Nguyen
7. C. Yuan

In Control and Systems Engineering

1. I-Ming Chen
2. Ke Zhang
3. Xiao-Shan Gao
4. Teck Chew Ng
5. Hongbo Li
6. Kim Doang Nguyen
7. C. Yuan
8. Jie Huang

Citations in the corpus

• Planning algorithms for s-curve trajectories (2007, methodology): “In [ 8 ], Macfarlane and Croft developed an online method for attaining smooth, jerkbounded trajectories, which was described as no oscillation and near time optimal paths.”
• A greedy algorithm for feedrate planning of CNC machines along curved tool paths with confined jerk (2012, methodology): “Macfarlane and Croft [9] developed and implemented an online method to obtain smooth, jerk-bounded trajectories with fifth-order polynomials for industrial robot applications.”