☕️Dr Alessandro Suglia
Lecturer in Embodied Natural Language Processing
Alessandro Suglia is a Lecturer at the School of Informatics, University of Edinburgh (equivalent to Assistant Professor in the US — a permanent academic position). I am also a member of the ELLIS network and a GAIL Fellow.
Interests
- Generative AI for Robotics and Embodied AI
- Multimodal Learning
- Conversational AI
Education
PhD in Robotics and Autonomous Systems
Heriot-Watt University & University of Edinburgh
MRes in Robotics and Autonomous Systems
Heriot-Watt University & University of Edinburgh
MSc in Computer Science
University of Bari, Aldo Moro
BSc in Computer Science
University of Bari, Aldo Moro
📚 My Research
Alessandro’s research focuses on designing artificial agents that learn language by leveraging sensory information derived from interacting with the world and with other agents. He is a Lecturer at the School of Informatics, University of Edinburgh. Alongside several academic collaborations, he also completed research collaborations with Amazon Alexa AI, Meta AI, Sony PlayStation, and the European Space Agency focused on developing innovative Multimodal Generative AI models for embodied and situated human-robot interaction tasks.
Featured Publications
Recent Publications
(2026).
GPTNT: Benchmarking Real-Time Collaboration Between Multimodal Agents on Keep Talking And Nobody Explodes.
TMLR 2026.
(2026).
Do Composed Image Retrieval Benchmarks Require Multimodal Composition?.
NeurIPS 2026.
(2026).
MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts.
CoRR.
(2026).
VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems.
Advances in Intelligent Systems and Computing ((AISC,volume 1468)).