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Yoshikazu Shiina

dblp:56/1076 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 · 91% Robot manipulation · 9%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot dynamics › contact dynamics
contact-mode switching
0.012003
Randomized manipulation planning for a multi-fingered hand by switching contact modes · ICRA 2003
Robotics › Motion planning and robot control › motion planning
manipulation planning
0.012003
Randomized manipulation planning for a multi-fingered hand by switching contact modes · ICRA 2003
Robotics › Motion planning and robot control › motion planning
sampling-based motion planning
0.012003
Randomized manipulation planning for a multi-fingered hand by switching contact modes · ICRA 2003
Robotics › Robot manipulation
dexterous manipulation
0.012003
Randomized manipulation planning for a multi-fingered hand by switching contact modes · ICRA 2003

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

rapidly-exploring random tree · 0.0randomized motion planning · 0.0
YearPublicationVenuePosition
2003 Randomized manipulation planning for a multi-fingered hand by switching contact modes
abstract
This paper presents a randomized manipulation planner for a multi-fingered hand by switching contact modes. Manipulation planning for such a system should consider changing kinematics and dynamics of the system according to the contact modes. We derive the conditions that would be satisfied in manipulation planning, based on the kinematical properties of a manipulation system. The conditions allow the planner to assign more contact modes than those corresponding to the relative motion of contact points restricted by constraint forces. Consequently, this enables dextrous manipulation. In addition, the conditions give the restrictions of feasible contact modes and the number of contact points. Inspired by randomized motion planning techniques, we propose a new algorithm for manipulation planning in order to explore object configuration space, SE(3), rapidly and uniformly. The basis for this approach is for the construction of exploring random trees. Simulation examples for 3-D manipulation by switching contact modes are presented to verify the planner's effectiveness.
Masahito Yashima, Yoshikazu Shiina, Hideya Yamaguchi
ICRA2