3 papers
cs.RO2026
Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs
Alessandro Adami, Sebastian Zudaire, Ruggero Carli +1
Constructing physically accurate simulation environments (Real2Sim) traditionally relies on manual system identification or rigid, exhaustive exploration routines. These task-agnos…
cs.RO2026
Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision
Alessandro Adami, Tommaso Tubaldo, Marco Todescato +2
Vision-Language Models (VLMs) have recently demonstrated strong capabilities in mapping multimodal observations to robot behaviors. However, most current approaches rely on end-to-…
cs.RO2025
Learning Stack-of-Tasks Management for Redundant Robots
Alessandro Adami, Aris Synodinos, Matteo Iovino +2
This paper presents a novel framework for automatically learning complete Stack-of-Tasks (SoT) controllers for redundant robotic systems, including task priorities, activation logi…