Yoichi Handa

dblp:83/10008 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—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
1 paper
Motion planning and robot control · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
redundant manipulator control
0.112012
End-link dynamics of redundant robotic limbs: The Reaction Null Space approach · ICRA 2012

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

pseudoinverse of coupling-inertia submatrix · 0.1operational space formulation · 0.1
YearPublicationVenuePosition
2012 End-link dynamics of redundant robotic limbs: The Reaction Null Space approach
abstract
It is shown that the Reaction Null Space formulation — a method developed for motion analysis and reactionless motion generation of free-floating and flexible-base robots — can be used to fully decouple the end-link dynamics of a kinematically redundant fixed-base robot. Decoupling is achieved thereby via the pseudoinverse of a coupling-inertia submatrix, in quite a different way from the dynamic decoupling achieved via the inertia-weighted generalized inverse of the manipulator Jacobian and known from the Operational Space formulation. The properties of the new formulation are clarified with the help of a comparative study on a representative motion/force control scenario. The simulation results show that the two formulations deliver identical results as far as end-link dynamics are concerned. The new method has an advantage with regard to joint space dynamics, though, which becomes apparent especially in the neighborhood of kinematic singularities, where the inertiaweighted generalized inverse of the manipulator Jacobian is ill-behaved.
Naoyuki Hara, Yoichi Handa, Dragomir N. Nenchev
ICRA2
2010 Natural motion: Efficient path tracking with robotic limbs
abstract
We aim at experimental verification of the efficiency of natural-motion path tracking (i.e. tracking speed in proportion to the determinant of the Jacobian) in comparison to constant-speed path tracking. This is done first via simulations, with a simple planar manipulator and then with a six-DOF manipulator. From the results it becomes apparent that natural-motion path tracking outperforms constant-speed path tracking in terms of peak joint speed, peak joint torque and total mechanical power, ensuring thereby a higher average tracking speed. The results are also confirmed via experiments with a real six-DOF robotic limb.
Dragomir N. Nenchev, Yoichi Handa, Daisuke Sato 0002
IROS2