Fred R. Sias Jr.

dblp:153/6288 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 1988
—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
2 papers
Robot manipulation · 50% Legged, aerial and field robots · 33% Motion planning and robot control · 17%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.011988
A motion control scheme for a biped robot to climb sloping surfaces · ICRA 1988
Robotics › Robot manipulation › assembly
grasping and assembly
0.011986
Two robot arms in assembly · ICRA 1986
Robotics › Robot manipulation › cooperative manipulation
multi-arm assembly
0.011986
Two robot arms in assembly · ICRA 1986
Robotics › Motion planning and robot control › locomotion control
balance control
0.011988
A motion control scheme for a biped robot to climb sloping surfaces · ICRA 1988
Robotics › Motion planning and robot control › multi-robot control
coordinated motion control
0.011986
Two robot arms in assembly · ICRA 1986

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

force sensing · 0.0state feedback control · 0.0collision detection · 0.0
YearPublicationVenuePosition
1988 A motion control scheme for a biped robot to climb sloping surfaces
abstract
A scheme to enable a biped robot to climb sloping surfaces is proposed. By means of sensing devices, namely, position sensors on the joints and force sensors underneath the heel and toe, a biped robot called SD-2 is able to detect the transition of the supporting terrain from a flat floor to a sloping surface and to walk on the slope. Since in the frontal plane almost no difference exists for biped locomotion on level or on slope, the study concentrates on the sagittal plane.>
Yuan F. Zheng, Fred R. Sias Jr.
ICRA3
1986 Two robot arms in assembly
abstract
When two robot arms execute coordinated motions in assembly, collision between the two end-effectors cannot be avoided. The collision effects on the robot motions are studied in this paper. Firstly, the joint velocities of the two coordinating arms have abrubt changes at the instant of collision. Secondly, an impulsive force exerted on the end-effector is generated. The magnitude and the direction of the impulsive force depend on the relative position and orientation between two collideing end-effectors. Therefore the impulsive force can be used to detect the position and orientation errors between two coordinating arms. A wrist force sensor is suggested to be installed at the wrist of each robot arm. The information produced by the wrist force sensors can then be used to adjust the relative position and orientation of the two robot arms in assembly.
Yuan F. Zheng, Fred R. Sias Jr.
ICRA2