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Michel Doyon

dblp:92/2268 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—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
2 papers
Robot manipulation · 76% Motion planning and robot control · 24%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping › grasp planning
force-closure grasp planning
0.012004
Optimum Grasp of Planar and Revolute Objects with Gripper Geometry Constraints · ICRA 2004
Robotics › Robot manipulation
grasping
0.012004
Optimum Grasp of Planar and Revolute Objects with Gripper Geometry Constraints · ICRA 2004
Robotics › Robot manipulation
dexterous manipulation
0.012004
Optimum Grasp of Planar and Revolute Objects with Gripper Geometry Constraints · ICRA 2004
Robotics › Motion planning and robot control › robot control
impedance control
0.011994
On the Implementation and Performance of Impedance Control on Position Controlled Robots · ICRA 1994
Robotics › Motion planning and robot control › robot control
position-controlled robot
0.011994
On the Implementation and Performance of Impedance Control on Position Controlled Robots · ICRA 1994
Robotics › Motion planning and robot control
robot control
0.011994
On the Implementation and Performance of Impedance Control on Position Controlled Robots · ICRA 1994
Robotics › Robot manipulation
robot manipulator
0.011994
On the Implementation and Performance of Impedance Control on Position Controlled Robots · ICRA 1994

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

grasp quality optimization · 0.0accessibility check · 0.0impedance modeling · 0.0feedback control · 0.0
YearPublicationVenuePosition
2004 Optimum Grasp of Planar and Revolute Objects with Gripper Geometry Constraints
abstract
This work presents a new methodology for synthesizing force-closure two-finger and three-finger grasps for planar and revolute parts. Most real world objects can be modeled using such parts. The grasp synthesis explicitly takes into account the gripper geometry constraints, but unlike previous related work, we optimize several grasp quality criteria simultaneously, rather than individually. The methodology also has two distinct features that makes it complete: corners are considered to ensure every existing grasp is found and an accessibility check is made around the part contour to avoid synthesizing impossible grasps. The algorithm is therefore practical while it ensures high quality grasps. Results are presented for grasp synthesis of several objects with SARAH, an under-actuated three-finger robotic hand.
Eric Boivin, Inna Sharf, Michel Doyon
ICRA3
1994 On the Implementation and Performance of Impedance Control on Position Controlled Robots
abstract
This paper discusses the implementation and performance of the impedance control scheme on position controlled robot manipulators. The performance of such impedance controllers is very dependent on the behavior of the underlying position controller. Three different configurations are presented and compared with respect to their ability to follow the nominal impedance equation, as well as their ease of implementation. A very simple method based on the use of additional feedback signals is also proposed as a way of significantly improving the tracking performance of these controllers. Simulation as well as experimental results demonstrating the controller behaviors are presented.>
Michel Pelletier, Michel Doyon
ICRA2