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Eleftherios Triantafyllidis

2 accepted papers

2024

Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks

ICRA 2024poster

Current reinforcement learning algorithms struggle in sparse and complex environments, most notably in long-horizon manipulation tasks entailing a plethora of different sequences. In this work, we propose the Intrinsically Guided Exploration from Large Language Models (IGE-LLMs) framework. By levera…

Cited by 14SourceScholar
2023

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System

IROS 2023poster

We present a modular framework designed to enable a robot hand-arm system to learn how to catch flying objects, a task that requires fast, reactive, and accurately-timed robot motions. Our framework consists of five core modules: (i) an object state estimator that learns object trajectory prediction…

Cited by 4SourceScholar