4 papers
Joint Discovery of Object and Action Symbols through Effect Prediction for Robotic Manipulation Planning
Burcu Kilic, Berke Kartal, Fatih Dogangun +2
To perform complex manipulation planning, autonomous robots are required to abstract continuous, high-dimensional sensorimotor interactions into discrete object and action represen…
Bilevel Planning with Learned Symbolic Abstractions from Interaction Data
Fatih Dogangun, Burcu Kilic, Serdar Bahar +1
Intelligent agents must reason over both continuous dynamics and discrete representations to generate effective plans in complex environments. Previous studies have shown that symb…
Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations
Serdar Bahar, Fatih Dogangun, Matteo Saveriano +2
Generalizing skill policies to novel conditions remains a key challenge in robot learning. Imitation learning methods, while data-efficient, are largely confined to the training re…
RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion
Fatih Dogangun, Serdar Bahar, Yigit Yildirim +3
This paper introduces Robotic Augmented Reality for Machine Programming by Demonstration (RAMPA), the first ML-integrated, XR-driven end-to-end robotic system, allowing training an…