activity
20202025
most citedFocus on Impact: Indoor Exploration with Intrinsic Motivation

22 citations · 45 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2025

Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning

Roberto Bigazzi

The increase in available computing power and the Deep Learning revolution have allowed the exploration of new topics and frontiers in Artificial Intelligence research. A new field…

cs.CV2024

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments

Luca Barsellotti, Roberto Bigazzi, Marcella Cornia +2

In the last years, the research interest in visual navigation towards objects in indoor environments has grown significantly. This growth can be attributed to the recent availabili…

cs.RO2024

UNMuTe: Unifying Navigation and Multimodal Dialogue-like Text Generation

Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi +1

Smart autonomous agents are becoming increasingly important in various real-life applications, including robotics and autonomous vehicles. One crucial skill that these agents must…

cs.CV2024

AIGeN: An Adversarial Approach for Instruction Generation in VLN

Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi +1

In the last few years, the research interest in Vision-and-Language Navigation (VLN) has grown significantly. VLN is a challenging task that involves an agent following human instr…

cs.RO2024

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition

Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik +2

Robots require a semantic understanding of their surroundings to operate in an efficient and explainable way in human environments. In the literature, there has been an extensive f…

cs.RO2023

Embodied Agents for Efficient Exploration and Smart Scene Description

Roberto Bigazzi, Marcella Cornia, Silvia Cascianelli +2

The development of embodied agents that can communicate with humans in natural language has gained increasing interest over the last years, as it facilitates the diffusion of robot…

cs.CV2022★ 3 cited

Embodied Navigation at the Art Gallery

Roberto Bigazzi, Federico Landi, Silvia Cascianelli +3

Embodied agents, trained to explore and navigate indoor photorealistic environments, have achieved impressive results on standard datasets and benchmarks. So far, experiments and e…

cs.CV2022★ 3 cited

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments

Federico Landi, Roberto Bigazzi, Marcella Cornia +3

Embodied AI is a recent research area that aims at creating intelligent agents that can move and operate inside an environment. Existing approaches in this field demand the agents…

cs.RO2021★ 22 cited

Focus on Impact: Indoor Exploration with Intrinsic Motivation

Roberto Bigazzi, Federico Landi, Silvia Cascianelli +3

Exploration of indoor environments has recently experienced a significant interest, also thanks to the introduction of deep neural agents built in a hierarchical fashion and traine…

cs.CV2021★ 9 cited

Out of the Box: Embodied Navigation in the Real World

Roberto Bigazzi, Federico Landi, Marcella Cornia +3

The research field of Embodied AI has witnessed substantial progress in visual navigation and exploration thanks to powerful simulating platforms and the availability of 3D data of…

cs.CV2020★ 8 cited

Explore and Explain: Self-supervised Navigation and Recounting

Roberto Bigazzi, Federico Landi, Marcella Cornia +3

Embodied AI has been recently gaining attention as it aims to foster the development of autonomous and intelligent agents. In this paper, we devise a novel embodied setting in whic…