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Luca M. Gambardella

7 accepted papers

2021

Pointing at Moving Robots: Detecting Events from Wrist IMU Data

ICRA 2021poster

We propose a practical approach for detecting the event that a human wearing an IMU-equipped bracelet points at a moving robot; the approach uses a learned classifier to verify if the robot motion (as measured by its odometry) matches the wrist motion, and does not require that the relative pose of…

Cited by 3Source ↗Scholar ↗
2020

Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures

ICRA 2020poster

We present an approach for controlling the position of a quadrotor in 3D space using pointing gestures; the task is difficult because it is in general ambiguous to infer where, along the pointing ray, the robot should go. We propose and validate a pragmatic solution based on a push button acting as…

Cited by 14Source ↗Scholar ↗
2019

On the Impact of Uncertainty for Path Planning

ICRA 2019poster

We consider the problem of planning paths on graphs with some edges whose traversability is uncertain; for each uncertain edge, we are given a probability of being traversable (e.g., by a learned classifier). We categorize different interpretations of the problem that are meaningful for mobile robot…

Cited by 10Source ↗Scholar ↗
2019

Proximity Human-Robot Interaction Using Pointing Gestures and a Wrist-mounted IMU

ICRA 2019poster

We present a system for interaction between co-located humans and mobile robots, which uses pointing gestures sensed by a wrist-mounted IMU. The operator begins by pointing, for a short time, at a moving robot. The system thus simultaneously determines: that the operator wants to interact; the robot…

Cited by 45Source ↗Scholar ↗
2019

Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches

ICRA 2019poster

We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera. On this specific task we compare two widespread learning paradigms: a mediated approach, which learns a high-level state from the input and then uses it for deriving co…

Cited by 17Source ↗code ↗Scholar ↗
2017

Simultaneous task allocation, data routing, and transmission scheduling in mobile multi-robot teams

IROS 2017poster

In the context of coordination of mobile multi-robot/agent networked teams, we present an integrated model that simultaneously addresses two problems arising in multi-robot missions: (i) task allocation and task scheduling; and (ii) communication provisioning in the multi-hop mobile ad hoc network b…

Cited by 35Source ↗Scholar ↗