Daphne Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daphne Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sylvain Calinon
  2. Ryan P. Adams
  3. Alan Bundy
  4. Seyed Mohammad Khansari-Zadeh

Papers from Daphne Chen's perspective

Ordered by how strongly the researchers Daphne Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A survey of robot learning from demonstration
  2. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
  3. On Learning, Representing, and Generalizing a Task in a Humanoid Robot
  4. Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models
  5. Learning grounded finite-state representations from unstructured demonstrations
  6. Probabilistic Movement Primitives
  7. Open-source benchmarking for learned reaching motion generation in robotics
  8. Movement segmentation using a primitive library
  9. Learning control Lyapunov function to ensure stability of dynamical system-based robot reaching motions
  10. An Algorithmic Perspective on Imitation Learning

Their papers