1 citations · 1 across the 6 of their papers we have counts for
6 papers
Hierarchical Prompting with Dual LLM Modules for Robotic Task and Motion Planning
Karolina Źróbek, Tessa Pulli, Paweł Gajewski +2
We present a hierarchical language-driven framework for robotic task and motion planning to improve natural, intuitive human-robot interaction in service and assistance scenarios.…
Automated Detection of Mutual Gaze and Joint Attention in Dual-Camera Settings via Dual-Stream Transformers
Jakub Kosmydel, Paweł Gajewski, Arkadiusz Białek
Analyzing mutual gaze (MG) and joint attention (JA) is critical in developmental psychology but traditionally relies on labor-intensive manual coding. Automating this process in mu…
TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning
Dominik Żurek, Kamil Faber, Marcin Pietron +2
Continual offline reinforcement learning (CORL) aims to learn a sequence of tasks from datasets collected over time while preserving performance on previously learned tasks. This s…
SatSOM: Saturation Self-Organizing Maps for Continual Learning
Igor Urbanik, Paweł Gajewski
Continual learning poses a fundamental challenge for neural systems, which often suffer from catastrophic forgetting when exposed to sequential tasks. Self-Organizing Maps (SOMs),…
UNCOM: Zero-shot Context-Aware Command Understanding for Tabletop Scenarios
Antonio Galiza Cerdeira Gonzalez, Paweł Gajewski, Bipin Indurkhya
This paper presents UNCOM, a novel hybrid framework for interpreting natural human commands in tabletop scenarios. The system integrates multiple sources of information -- speech,…
Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
Paweł Gajewski, Dominik Żurek, Marcin Pietroń +1
Reinforcement learning (RL) in robotics faces significant hurdles regarding sample efficiency and generalization across varying goals. While Offline RL mitigates the need for costl…