← Search

Gian Diego Tipaldi

8 accepted papers

2016

Autonomous indoor robot navigation using a sketch interface for drawing maps and routes

ICRA 2016

Hand-Drawn sketches are natural means by which abstract descriptions of environments can be provided. They represent weak prior information about the scene, thereby enabling a robot to perform autonomous navigation and exploration when a full metrical description of the environment is not available

Cited by 53SourceScholar
2016

Do you see the bakery? Leveraging geo-referenced texts for global localization in public maps

ICRA 2016

Text is one of the richest sources of information in an urban environment. Although textual information is heavily relied on by humans for a majority of the daily tasks, its usage has not been completely exploited in the field of robotics. In this work, we propose a localization approach utilizing t

Cited by 30SourceScholar
2015

Accurate localization with respect to moving objects via multiple-body registration

IROS 2015poster

Many mobile manipulation tasks require the robot to be accurately localized with respect to the object where the manipulation has to be executed. These tasks include autonomous docking and positioning as well as pick and place or logistics tasks. State-of-the-art approaches to the problem commonly a…

Cited by 11SourceScholar
2015

Automatic extrinsic calibration of multiple laser range sensors with little overlap

ICRA 2015poster

Networks of laser range finders are a popular tool for monitoring large cluttered areas and to track people. Whenever multiple scanners are used for this purpose, one major problem is how to determine the relative positions of all the scanners. In this paper, we present a novel approach to calibrate…

Cited by 14SourceScholar
2015

LexTOR: Lexicographic teach optimize and repeat based on user preferences

ICRA 2015poster

In the last years, many researchers started to consider teach-and-repeat approaches for reliable autonomous navigation. The paradigm, in all its proposed forms, is deeply rooted in the idea that the robot should autonomously follow a route that has been demonstrated by a human during a teach phase.…

Cited by 13SourceScholar