Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Ann Ramos Gravagne

dblp:56/477 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 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
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.012000
Towards Impulsive Manipulation: A General Algebraic Collision Model for Spatial Robots · ICRA 2000
Robotics › Robot manipulation › contact modeling
impact analysis
0.012000
Towards Impulsive Manipulation: A General Algebraic Collision Model for Spatial Robots · ICRA 2000
Robotics › Robot manipulation › nonprehensile manipulation
impulsive manipulation
0.012000
Towards Impulsive Manipulation: A General Algebraic Collision Model for Spatial Robots · ICRA 2000

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

operational contact inertia matrix · 0.0algebraic collision law · 0.0
YearPublicationVenuePosition
2000 Towards Impulsive Manipulation: A General Algebraic Collision Model for Spatial Robots
abstract
The interactions between a robot and its environment involving sudden contact and impact comprise the key elements of impulsive manipulation. Of the collision models in use in robotics to date no one model is able to capture the richness of impulsive manipulation in impact and grasping analysis. Thus, we introduce an algebraic collision law specifically tailored to robotic interactions such as grasping. Synthesizing an algebraic collision law given in other arenas with the operational contact inertia matrix, we obtain an impulsive manipulation model which is consistent with the laws of physics and also computationally efficient. This law has potential uses in many aspects of dynamic simulation and manipulation.
Ann Ramos Gravagne, Ian D. Walker
ICRA1