Search Results for author: Tommaso Campari

Found 6 papers, 0 papers with code

MOPA: Modular Object Navigation with PointGoal Agents

no code implementations7 Apr 2023 Sonia Raychaudhuri, Tommaso Campari, Unnat Jain, Manolis Savva, Angel X. Chang

We propose a simple but effective modular approach MOPA (Modular ObjectNav with PointGoal agents) to systematically investigate the inherent modularity of the object navigation task in Embodied AI.

Navigate Object +3

Exploiting Proximity-Aware Tasks for Embodied Social Navigation

no code implementations ICCV 2023 Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan

In this paper, we propose an end-to-end architecture that exploits Proximity-Aware Tasks (referred as to Risk and Proximity Compass) to inject into a reinforcement learning navigation policy the ability to infer common-sense social behaviors.

Common Sense Reasoning Navigate +1

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions

no code implementations24 Aug 2022 Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

In this paper, we propose Deep Symbolic Learning (DSL), a NeSy system that learns NeSy-functions, i. e., the composition of a (set of) perception functions which map continuous data to discrete symbols, and a symbolic function over the set of symbols.

Online Learning of Reusable Abstract Models for Object Goal Navigation

no code implementations CVPR 2022 Tommaso Campari, Leonardo Lamanna, Paolo Traverso, Luciano Serafini, Lamberto Ballan

In this paper, we present a novel approach to incrementally learn an Abstract Model of an unknown environment, and show how an agent can reuse the learned model for tackling the Object Goal Navigation task.

Image Segmentation Object +1

Exploiting Scene-specific Features for Object Goal Navigation

no code implementations21 Aug 2020 Tommaso Campari, Paolo Eccher, Luciano Serafini, Lamberto Ballan

We study this question in the context of Object Navigation, a problem in which an agent has to reach an object of a specific class while moving in a complex domestic environment.

Object Visual Navigation

Cannot find the paper you are looking for? You can Submit a new open access paper.