Carlos Azevedo

2 accepted papers

2025

Large Language Model-Based Robot Task Planning from Voice Command Transcriptions

Afonso Certo, Bruno Martins, Carlos Azevedo, Pedro U. Lima

IROS 2025

One of the primary challenges in building a General Purpose Service Robot (GPSR), i.e. a robot capable of executing generic human commands, lies in acting upon natural language instructions. These instructions often contain speech recognition errors and incomplete information, complicating the extra

Cited by 0 Source ↗code ↗Scholar ↗

2020

Long-Run Multi-Robot Planning under Uncertain Action Durations for Persistent Tasks

Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro Lima

IROS 2020poster

This paper presents an approach for multi-robot long-term planning under uncertainty over the duration of actions. The proposed methodology takes advantage of generalized stochastic Petri nets with rewards (GSPNR) to model multi-robot problems. A GSPNR allows for unified modeling of action selection…

Cited by 9 Source ↗Scholar ↗