Geometrical Invariance and Smoothness Maximization for Task-Space Movement Generation

By Yaron Meirovitch, Daniel Bennequin, Tamar Flash. 2016

39 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Control and Systems Engineering, Mechanical Engineering

How researchers see this paper

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

In Cognitive Neuroscience

1. Sonia Chernova
2. Seyed Reza Ahmadzadeh
3. 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

In Mechanical Engineering

1. Sonia Chernova

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], [”