About

I am pursuing a PhD in Brain, Mind, and Computer Science at the University of Padua, in collaboration with Fondazione Bruno Kessler. My research in Embodied AI explores how autonomous agents ground human goals in complex environments and adapt when actions fail. My interests include fine-grained object navigation, personalized spatial reasoning, and memory-guided adaptation, with a growing focus on failure understanding and recovery.

My current work investigates how agents can use multimodal reasoning and memory to diagnose failures, reason about alternative actions, and retrieve past experiences to guide recovery. I am also interested in how causal reasoning and world models can help agents anticipate failures and evaluate the consequences of their actions.

Publications

IMPRINT: Image-Conditioned Query Enrichment for Long-Tail Object Goal Navigation

IROS 2026

IMPRINT: Image-Conditioned Query Enrichment for Long-Tail Object Goal Navigation

Jelin Raphael Akkara, Filippo Ziliotto, Luciano Serafini, Lamberto Ballan, Tommaso Campari

Personal-3D: A Comprehensive Benchmark for Personalized Embodied AI Agents

IJCV 2026

Personal-3D: A Comprehensive Benchmark for Personalized Embodied AI Agents

Filippo Ziliotto, Jelin Raphael Akkara, Alessandro Daniele, Lamberto Ballan, Luciano Serafini, Tommaso Campari

PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents

ICRA 2026

PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents

Filippo Ziliotto, Jelin Raphael Akkara, Alessandro Daniele, Lamberto Ballan, Luciano Serafini, Tommaso Campari

Experience

Oct—Dec 2025

Teaching Assistant - Computer Vision and Cognitive Systems

University of Padua

Assisted with lab sessions, guided students on assignments and projects, and facilitated discussions on advanced topics in computer vision and cognitive systems.

Jul—Oct 2025

GenAI Research Intern

ViWear

Enhanced a Stable Diffusion-derived virtual try-on model, improving perceptual metrics by 7-12% and tripling inference speed from 1 fps to 3 fps through architectural improvements and GPU-constrained fine-tuning.

Oct 2023—Mar 2024

Computer Vision Research Intern

Fondazione Bruno Kessler / Visual Intelligence and Machine Perception Group, University of Padua

Guided by: Prof. Lamberto Ballan and Tommaso Campari

Enhanced scene mapping with multimodal vision-language features while keeping the pipeline memory-efficient, increasing navigation success by 7.6% and reducing memory usage by 99.75%.

Education

2025—Present

University of Padua / Fondazione Bruno Kessler

PhD in Brain, Mind, and Computer Science (BMCS)

Research focus: Building embodied agents that use multimodal reasoning and memory to understand their environments, adapt to users, and learn to anticipate and recover from failures.

2022—2025

University of Padua, Italy

MSc in Physics of Data

Thesis: Zero-Shot Object Goal Navigation using Online Image Retrieval

GPA: 110 / 110

2018—2022

National Institute of Technology, Calicut, India

B.Tech in Engineering Physics

First Class with Distinction