Search Results for author: Ahmet E. Tekden

Found 3 papers, 1 papers with code

Object and Relation Centric Representations for Push Effect Prediction

no code implementations3 Feb 2021 Ahmet E. Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur

For this reason, effect prediction and parameter estimation with pushing actions have been heavily investigated in the literature.

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

no code implementations25 Mar 2020 M. Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker, Honghu Xue, Ahmet E. Tekden, Emre Ugur

To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL).

Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects

1 code implementation9 Sep 2019 Ahmet E. Tekden, Aykut Erdem, Erkut Erdem, Mert Imre, M. Yunus Seker, Emre Ugur

In this paper, we introduce Belief Regulated Dual Propagation Networks (BRDPN), a general purpose learnable physics engine, which enables a robot to predict the effects of its actions in scenes containing groups of articulated multi-part objects.

Robotics

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