Ahmet Ercan Tekden

PhD student at the Department of Electrical Engineering at the Chalmers University of Technology

Contact:
  e-mail: tekden AT chalmers DOT se

           ·      ·   

Education

  • BSc in Computer Engineering, Bogazici University, 2012 - 2017
  • MSc in Computer Engineering, Bogazici University, 2017 - 2020
        Supervisor: Assist. Prof. Emre Ugur
        Co-supervisor: Assoc. Prof. Aykut Erdem
        Thesis Title: Object and Relation-centric Reasoning of Action Effects in Push Manipulation Tasks
  • PhD Student in Electrical Engineering Department, 2021 - Ongoing
        Supervisor: Assist. Prof. Yasemin Bekiroglu
        Research: Data-efficient Representation Learning for Robot Grasping and Manipulation
                 Licentiate

Research Experience


Research Assistant at CoLoRs Lab, Bogazici University, Istanbul, Turkey

Project: IMAGINE - Robots Understanding Their Actions by Imagining Their Effects , 2017 - 2021
This project seeks to enable robots to understand the environment and objects it works with, and how they are affected by its actions. This objective is pursued in the context of recycling of electromechanic alappliances. Our responsibilities in this project are:

  • Identify the affordances provided in a scene, i.e. the set of actions that can currently be executed.
  • Determining action parameters for currently-admissible actions as selected by the planner.
  • Finding the possible effects of determined actions.
This project is funded by the European Union’s Horizon 2020 research and innovation programme.

Research Intern at CiNet, Osaka, Japan

Project: CREST "Cognitive Mirroring" , 14.01.2018 - 10.02.2018
I worked with a Maximum Entropy Inverse Reinforcement Learning model and applied it to infant imitation learning problem.

Technical Skills

Frameworks, Software & Tools: ROS, Keras, PyTorch, V-Rep, Pybullet, Open3D, Trimesh, Rviz
Robots: Baxter, UR10, Lego Mindstorms
Languages: Turkish, English
Courses: Autonomous Robots(Assignments), Introduction to Machine Learning, Robot Learning, Computer Vision, Principles of Artificial Intelligence, Introduction to Robot Control, Introduction to Robotics(Assignments), Natural Language Processing, Cognitive Science