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.
? Tutorial for this page

Masato Kawatani

dblp:64/5564 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Motion planning and robot control · 75% Robot manipulation · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › nonprehensile manipulation
dynamic manipulation
0.012002
Dynamic Dexterity for the Performance of "Wall-Bouncing" Tasks · ICRA 2002
Robotics › Motion planning and robot control › robot control
feedback control
0.012002
Dynamic Dexterity for the Performance of "Wall-Bouncing" Tasks · ICRA 2002
Robotics › Motion planning and robot control › robot control › force control
impact control
0.012002
Dynamic Dexterity for the Performance of "Wall-Bouncing" Tasks · ICRA 2002
Robotics › Motion planning and robot control
robot control
0.012002
Dynamic Dexterity for the Performance of "Wall-Bouncing" Tasks · ICRA 2002

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

stability analysis · 0.0discrete system analysis · 0.0
YearPublicationVenuePosition
2002 Dynamic Dexterity for the Performance of "Wall-Bouncing" Tasks
abstract
In this paper, we consider ”wall-bouncing ” task in which we repeat the process of hitting the ball that rebounds from the wall and the table as a typical example of dexterous batting tasks. Through the stability analysis of a discrete system, we reveal that required dexterity varies depending on the location of equilibrium points, that is, the shape of the ball trajectory. A feedback control scheme for the paddle at the moment of impact is also proposed to continue ”wall-bouncing ” task under disturbances.
Masahiro Takeuchi, Fumio Miyazaki, Michiya Matsushima, Masato Kawatani, Takaaki Hashimoto
ICRA4