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John Hauser

dblp:85/7143 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1988
0000-0002-8129-7832ORCID · corroborated

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 · 67% Robot manipulation · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.011988
Kinematics and control of multifingered hands with rolling contact · ICRA 1988
Robotics › Robot manipulation › grasping › multifingered hand
multifingered hand control
0.011988
Kinematics and control of multifingered hands with rolling contact · ICRA 1988
Robotics › Motion planning and robot control
robot control
0.011988
Kinematics and control of multifingered hands with rolling contact · ICRA 1988

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

friction cone constraint · 0.0computed torque method · 0.0
YearPublicationVenuePosition
1988 Kinematics and control of multifingered hands with rolling contact
abstract
The kinematics of rolling contact for two surfaces of arbitrary shape rolling of each other is derived. Applying these kinematic equations to two planar multifingered hands manipulating some object of arbitrary shape, a scheme is presented for the control of these hands which is a generalization of the computed torque method of control of robot manipulators. In implementing the control, it is required that all applied forces lie within the friction cone of the object so that sliding does not occur. The theory is illustrated with graphic simulations of the control law applied to the system dynamics for two examples.>
Arlene Cole, John Hauser, S. Shankar Sastry
ICRA2
1988 Dynamic control of redundant manipulators
abstract
The authors provide a dynamic control law that guarantees the tracking of a given end-effector trajectory and also provides for the control of the redundant joint velocity. The desired redundant joint velocity can then be specified to optimize a cost function over the configurations allowed by the extra degrees of freedom that achieve the given end-effector position.>
Ping Hsu, John Hauser, S. Shankar Sastry
ICRA2