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20162019
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cs.RO2019

Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments

Ciro Potena, Daniele Nardi, Alberto Pretto

This work addresses the problem of coupling vision-based navigation systems for Unmanned Aerial Vehicles (UAVs) with robust obstacle avoidance capabilities. The former problem is s…

cs.RO2018

AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming

Ciro Potena, Raghav Khanna, Juan Nieto +3

The combination of aerial survey capabilities of Unmanned Aerial Vehicles with targeted intervention abilities of agricultural Unmanned Ground Vehicles can significantly improve th…

cs.RO2018

Non-Linear Model Predictive Control with Adaptive Time-Mesh Refinement

Ciro Potena, Bartolomeo Della Corte, Daniele Nardi +2

In this paper, we present a novel solution for real-time, Non-Linear Model Predictive Control (NMPC) exploiting a time-mesh refinement strategy. The proposed controller formulates…

cs.RO2018

An Effective Multi-Cue Positioning System for Agricultural Robotics

Marco Imperoli, Ciro Potena, Daniele Nardi +2

The self-localization capability is a crucial component for Unmanned Ground Vehicles (UGV) in farming applications. Approaches based solely on visual cues or on low-cost GPS are ea…

cs.RO2017

Effective Target Aware Visual Navigation for UAVs

Ciro Potena, Daniele Nardi, Alberto Pretto

In this paper we propose an effective vision-based navigation method that allows a multirotor vehicle to simultaneously reach a desired goal pose in the environment while constantl…