Dae-Hyung Park

Robotics & Control · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Robotics & Control — 5 citations into it

Whom Dae-Hyung Park trusts overall

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

1. Stefan Schaal
2. Auke Jan Ijspeert
3. Aude Gemma Billard
4. Jun Nakanishi

Who trusts Dae-Hyung Park overall

1. Peter Pastor
2. Heiko Hoffmann
3. Jens Kober
4. Seyed Mohammad Khansari-Zadeh
5. Jan Peters
6. Petar Kormushev
7. Aude Gemma Billard
8. Stefan Schaal
9. K. Zadeh
10. Tamim Asfour

Papers from Dae-Hyung Park's perspective

Ordered by how strongly the researchers Dae-Hyung Park trusts endorse each paper. Same corpus, a different order for every researcher.

1. Movement imitation with nonlinear dynamical systems in humanoid robots
2. Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields
3. Operational Space Control: A Theoretical and Empirical Comparison
4. The correspondence problem
5. Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics
6. Robot learning from demonstration
7. Behavioral dynamics of steering, obstacle avoidance, and route selection. (Journal of Experimental Psychology: Human Perception and Performance)
8. Learning Attractor Landscapes for Learning Motor Primitives
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Their papers

• Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields (2008) — 295 citations
• Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance (2009) — 304 citations