5 citations · 15 across the 13 of their papers we have counts for
5 papers · 1 filter
Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics
Aydin Ahmadi, Baris Akgun
Data-driven planar pushing methods have recently gained attention as they reduce manual engineering effort and improve generalization compared to analytical approaches. However, mo…
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving
Ege Onat Özsüer, Barış Akgün, Fatma Güney
Reinforcement Learning (RL) has the potential to surpass human performance in driving without needing any expert supervision. Despite its promise, the state-of-the-art in sensorimo…
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search
Onur Berk Tore, Farzin Negahbani, Baris Akgun
This paper introduces a novel Learning from Demonstration framework to learn robotic skills with keyframe demonstrations using a Dynamic Bayesian Network (DBN) and a Bayesian Optim…
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation
Bugra C. Sefercik, Baris Akgun
Traditional approaches to extrinsic calibration use fiducial markers and learning-based approaches rely heavily on simulation data. In this work, we present a learning-based marker…
Mind in the Machine: Perceived Minds Induce Decision Change
Deniz Lefkeli, Baris Akgun, Sahibzada Omar +3
Recent research on human robot interaction explored whether people's tendency to conform to others extends to artificial agents (Hertz & Wiese, 2016). However, little is known abou…