Spatial adaption of robot trajectories based on laplacian trajectory editing

By Thomas Nierhoff, Sandra Hirche, Yoshihiko Nakamura. 2015

23 citations recorded by the source corpus.

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

How researchers see this paper

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

In Biomedical Engineering

1. Sonia Chernova
2. Seyed Reza Ahmadzadeh

In Computer Vision and Pattern Recognition

1. Daphne Chen
2. Sonia Chernova
3. Jacob Williams
4. Seyed Reza Ahmadzadeh
5. Vivian Chu
6. Muhammad Asif Rana

In Control and Systems Engineering

1. Seyed Reza Ahmadzadeh
2. Muhammad Asif Rana
3. Daphne Chen
4. Sonia Chernova
5. Jacob Williams
6. Vivian Chu
7. Harish Chaandar Ravichandar
8. Ashwin P. Dani

Citations in the corpus

• Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance (2019, background): “Based on the choice of motion generation strategy, the majority of skill learning approaches can be further broadly categorized into four groups: time-invariant (stable) dynamical systems [2], [3], [13], time-dependent dynamical systems [7], [9], [10], time-dependent statistical methods [8], [14], [”
• Trajectory-Based Skill Learning Using Generalized Cylinders (2018, methodology): “For a discussion about the robustness of the LTE approach compared against TPS see section 5.2.”