Tarık Keleştemur

2 accepted papers

2021

Policy Learning for Visually Conditioned Tactile Manipulation

Tarık Keleştemur, Taşkın Padır, Robert Platt

IROS 2021poster

Recent work on robot learning with visual observations has shown great success in solving many manipulation tasks. While visual observations contain rich information about the environment and the robot, they can be unreliable in the presence of visual noise or occlusions. In these cases, we can leve…

Cited by 2 Source ↗Scholar ↗

2020

Learning Bayes Filter Models for Tactile Localization

Tarık Keleştemur, Colin Keil, John P. Whitney, Robert Platt, Taşkın Padır

IROS 2020poster

Localizing and tracking the pose of robotic grippers are necessary skills for manipulation tasks. However, the manipulators with imprecise kinematic models (e.g. low-cost arms) or manipulators with unknown world coordinates (e.g. poor camera-arm calibration) cannot locate the gripper with respect to…

Cited by 5 Source ↗Scholar ↗