Torsten Bertram

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Torsten Bertram trusts overall

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

  1. Stefan Schaal
  2. Jorge Nocedal
  3. Christopher G. Atkeson

Who trusts Torsten Bertram overall

  1. Sylvain Calinon
  2. Sao Mai Nguyen
  3. Seyed Mohammad Khansari-Zadeh

Papers from Torsten Bertram's perspective

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

  1. STOMP: Stochastic trajectory optimization for motion planning (IEEE International Conference on Robotics and Automation)
  2. A survey of robot learning from demonstration
  3. CHOMP: Gradient optimization techniques for efficient motion planning
  4. Locally Weighted Learning
  5. Learning from Demonstration
  6. Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
  7. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
  8. Wrappers for Feature Subset Selection
  9. Robot Programming by Demonstration
  10. Numerical optimization

Their papers