activity
20202026
most citedBTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs

32 citations · 36 across the 9 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

Decoupled Early Exits for Task-Dependent Compute Allocation in Flow-Matching VLAs

Riccardo Andrea Izzo, Rimvydas Rubavicius, Gianluca Bardaro +3

Flow-matching Vision-Language-Action (VLA) models have emerged as a potential solution for generalist robot control, designed by combining a pretrained Vision-Language Model (VLM)…

cs.CV2026

MamMA: A Mamba-Based Pedestrian Trajectory Prediction Algorithm Considering Occupancy Map and Pedestrian Awareness States

Juncen Long, Xiaofeng Jin, Gianluca Bardaro +2

Many pedestrian trajectory prediction algorithms have been proposed to improve the safety of navigation for mobile robots working in human-robot coexistence environments. Some pede…

cs.RO2026

Multimodal Behavior Tree Generation: A Small Vision-Language Model for Robot Task Planning

Cristiano Battistini, Riccardo Andrea Izzo, Gianluca Bardaro +1

Large language models have been widely used for robotic task planning, often taking advantage of representations such as Behavior Trees (BTs). Vision-Language Models (VLMs) have ex…

cs.CV2026

Act, Think or Abstain: Complexity-Aware Adaptive Inference for Vision-Language-Action Models

Riccardo Andrea Izzo, Gianluca Bardaro, Matteo Matteucci

Current research on Vision-Language-Action (VLA) models predominantly focuses on enhancing generalization through reasoning techniques. While effective, these improvements increase…

cs.RO2026

BTGenBot-2: Efficient Behavior Tree Generation with Small Language Models

Riccardo Andrea Izzo, Gianluca Bardaro, Matteo Matteucci

Recent advances in robot learning increasingly rely on LLM-based task planning, leveraging their ability to bridge natural language with executable actions. While prior works showc…

cs.CV2026

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs

Daniel Yezid Guarnizo Orjuela, Leonardo Scappatura, Veronica Di Gennaro +3

Vision-Language-Action (VLA) models have emerged as a dominant paradigm for generalist robotic manipulation, unifying perception and control within a single end-to-end architecture…