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David Gouaillier

dblp:74/2497 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author

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
2 papers
Robot manipulation · 77% Legged, aerial and field robots · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robotic hand
anthropomorphic robot hand
0.212015
Design method for an anthropomorphic hand able to gesture and grasp · ICRA 2015
Robotics › Legged, aerial and field robots
humanoid robot
0.112009
Mechatronic design of NAO humanoid · ICRA 2009
Robotics › Robot manipulation
grasping
0.112015
Design method for an anthropomorphic hand able to gesture and grasp · ICRA 2015
Robotics › Robot manipulation › robot design
robot platform design
0.012009
Mechatronic design of NAO humanoid · ICRA 2009

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

workspace analysis · 0.2kinematic modeling · 0.2distributed software architecture · 0.1brush DC motor actuation · 0.1
YearPublicationVenuePosition
2016 ALPHA: A hybrid self-adaptable hand for a social humanoid robot
abstract
This paper presents a novel design of a compact and light-weight robotic hand for a social humanoid robot. The proposed system is able to perform common hand gestures and self-adaptable grasps by mixing under-actuated and self-adaptable hand kinematics in a unique design. The hand answers the need for precise finger postures and sensor-less force feedback during gestures and for finger adaptation and autonomous force distribution during grasps. These are provided by a dual actuation system embodied within the palm and the fingers. Coexistence is ensured by compliant transmissions based on elastomer bars rather than classical tension springs, thanks to their high elastic coefficient at reduced sizes and strains. The proposed solution significantly reduces the weight and the size of the hand by using a reduced number of small actuators for gesturing and a single motor for grasping. The hand prototype (ALPHA) is realized to confirm the design feasibility and functional capabilities. It is controlled to provide safe human-robot interaction and preserve mechanical integrity in order to be embodied on a humanoid robot.
Giulio Cerruti, Damien Chablat, David Gouaillier, Sophie Sakka
IROS3
2015 Design method for an anthropomorphic hand able to gesture and grasp
abstract
This paper presents a numerical method to conceive and design the kinematic model of an anthropomorphic robotic hand used for gesturing and grasping. In literature, there are few numerical methods for the finger placement of human-inspired robotic hands. In particular, there are no numerical methods, for the thumb placement, that aim to improve the hand dexterity and grasping capabilities by keeping the hand design close to the human one. While existing models are usually the result of successive parameter adjustments, the proposed method determines the fingers placements by mean of empirical tests. Moreover, a surgery test and the workspace analysis of the whole hand are used to find the best thumb position and orientation according to the hand kinematics and structure. The result is validated through simulation where it is checked that the hand looks well balanced and that it meets our constraints and needs. The presented method provides a numerical tool which allows the easy computation of finger and thumb geometries and base placements for a human-like dexterous robotic hand.
Giulio Cerruti, Damien Chablat, David Gouaillier, Sophie Sakka
ICRA3
2009 Mechatronic design of NAO humanoid
abstract
This article presents the mechatronic design of the autonomous humanoid robot called NAO that is built by the French company Aldebaran-Robotics. With its height of 0.57 m and its weight about 4.5 kg, this innovative robot is lightweight and compact. It distinguishes itself from existing humanoids thanks to its pelvis kinematics design, its proprietary actuation system based on brush DC motors, its electronic, computer and distributed software architectures. This robot has been designed to be affordable without sacrificing quality and performance. It is an open and easy-to-handle platform. The comprehensive and functional design is one of the reasons that helped select NAO to replace the AIBO quadrupeds in the 2008 RoboCup standard league.
David Gouaillier, Vincent Hugel, Pierre Blazevic, Chris Kilner, Jérôme Monceaux, Pascal Lafourcade 0002, Brice Marnier, Julien Serre, Bruno Maisonnier
ICRA1