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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 3SourceScholar
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 14SourceScholar
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 10SourceScholar
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 45SourceScholar
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 17SourcecodeScholar
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 35SourceScholar