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Julien Diperi

dblp:181/4255 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 30% Motion planning and robot control · 30% Robot navigation and mapping · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.212016
A novel hyperacute gimbal eye to implement precise hovering and target tracking on a quadrotor · ICRA 2016
Robotics › Robot navigation and mapping › active vision
gaze stabilization
0.212016
A novel hyperacute gimbal eye to implement precise hovering and target tracking on a quadrotor · ICRA 2016
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.212016
A novel hyperacute gimbal eye to implement precise hovering and target tracking on a quadrotor · ICRA 2016

Methods — techniques the papers use, named apart from their topics

visual processing algorithm · 0.2gimbal control · 0.2
YearPublicationVenuePosition
2017 A novel insect-inspired optical compass sensor for a hexapod walking robot
abstract
In an outdoor autonomous navigational context, classic compass sensors such as magnetometers have to deal with unpredictable magnetic disturbances. In this paper, we propose to get inspiration from the insect navigational abilities to design a celestial compass based on linear polarization of ultraviolet (UV) skylight. To compute the solar meridian relative orientation, our 3D-printed celestial compass uses only two pixels created by two UV-light photo-sensors topped with linear polarizers arranged orthogonally to each other, in the same manner that was observed in insects' Dorsal Rim Area ommatidia. The compass was then embedded on our hexapod walking robot called Hexabot. We first tested the UV-polarized light compass to compensate for yaw random disturbances. We then used the compass to maintain Hexabot's heading direction constant in a straight-forward task, knowing the robot has important yaw drifts. Experiments under various meteorological conditions provided steady state heading direction errors from 0.3° under clear sky conditions to 1.9° under overcast sky, which suggests interesting precision and reliability to make this optical compass suitable for robotics.
Julien Dupeyroux, Julien Diperi, Marc Boyron, Stéphane Viollet, Julien Serres
IROS2
2016 A novel hyperacute gimbal eye to implement precise hovering and target tracking on a quadrotor
abstract
This paper presents a new minimalist bio-inspired artificial eye of only 24 pixels, able to locate accurately a target placed in its small field of view (±10°). The eye is mounted on a very light custom-made gimbal system which makes the eye able to track faithfully a moving target. We have shown, that our gimbal eye can be embedded on a small quadrotor to achieve accurate hovering with respect to a target placed onto the ground. Our aiborne eye was enhanced with a bio-inspired reflex in charge of locking efficiently the robot's gaze onto a target and compensate for the robot's rotations and disturbances. The use of very few pixels allowed to implement a visual processing algorithm at a refresh rate of 400 Hz. This high refresh rate coupled to a very fast control of the eye's orientation allowed the robot to track a target moving at a speed up to 200° · s-1.
Augustin Manecy, Julien Diperi, Marc Boyron, Nicolas Marchand, Stéphane Viollet
ICRA2