Tohid Alizadeh
2013
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Tohid Alizadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tohid Alizadeh overall
Papers from Tohid Alizadeh's perspective
Ordered by how strongly the researchers Tohid Alizadeh trusts endorse each paper. Same corpus, a different order for every researcher.
- On Learning, Representing, and Generalizing a Task in a Humanoid Robot
- Embodied Symbol Emergence Based on Mimesis Theory (Int. J. Robotics Res.)
- Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
- Movement imitation with nonlinear dynamical systems in humanoid robots
- Learning Attractor Landscapes for Learning Motor Primitives
- Is imitation learning the route to humanoid robots?
- Learning from demonstration and adaptation of biped locomotion
- Dynamics systems vs. optimal control--a unifying view.
- Natural Actor-Critic
- Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance
Their papers
- On improving the extrapolation capability of task-parameterized movement models (2013) — 104 citations