Michael A. Unseren

dblp:13/4147 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 75% Robot manipulation · 25%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › template-based modeling
fold recognition
0.012000
Sequence-structure specificity of a knowledge based energy function at the secondary structure level · Bioinform. 2000
Bioinformatics and computational biology › protein structure analysis
knowledge-based potential
0.012000
Sequence-structure specificity of a knowledge based energy function at the secondary structure level · Bioinform. 2000
Bioinformatics and computational biology
protein structure prediction
0.012000
Sequence-structure specificity of a knowledge based energy function at the secondary structure level · Bioinform. 2000
Robotics › Robot manipulation
cooperative manipulation
0.011989
Reduced order model and decoupled control architecture for two manipulators holding an object · ICRA 1989
Robotics › Motion planning and robot control › dynamic modeling
reduced-order model
0.011989
Reduced order model and decoupled control architecture for two manipulators holding an object · ICRA 1989
Robotics › Motion planning and robot control
robot control
0.011989
Reduced order model and decoupled control architecture for two manipulators holding an object · ICRA 1989
Robotics › Motion planning and robot control
robot dynamics
0.011989
Reduced order model and decoupled control architecture for two manipulators holding an object · ICRA 1989

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

mutation analysis · 0.0energy function evaluation · 0.0numerical optimization · 0.0
YearPublicationVenuePosition
2000 Sequence-structure specificity of a knowledge based energy function at the secondary structure level
abstract
MOTIVATION: This paper investigates the sequence-structure specificity of a representative knowledge based energy function by applying it to threading at the level of secondary structures of proteins. Assessing the strengths and weaknesses of an energy function at this fundamental level provides more detailed and insightful information than at the tertiary structure level and the results obtained can be useful in tertiary level threading. RESULTS: We threaded each of the 293 non-redundant proteins onto the secondary structures contained in its respective native protein (host template). We also used 68 pairs of proteins with similar folds and low sequence identity. For each pair, we threaded the sequence of one protein onto the secondary structures of the other protein. The discerning power of the total energy function and its one-body, pairwise, and mutation components is studied. We then applied our energy function to a recent study which demonstrated how a designed 11-amino acid sequence can replace distinct segments (one segment is an alpha-helix, the other is a beta-sheet) of a protein without changing its fold. We conducted random mutations of the designed sequence to determine the patterns for favorable mutations. We also studied the sequence-structure specificity at the boundaries of a secondary structure. Finally, we demonstrated how to speed up tertiary level threading by filtering out alignments found to be energetically unfavorable during the secondary structure threading. AVAILABILITY: The program is available on request from the authors. CONTACT: [email protected]
Dong Xu 0002, Michael A. Unseren, Ying Xu 0001, Edward C. Uberbacher
Bioinform.2
1993 Position and constraint force control of a vehicle with two or more steerable drive wheels
abstract
Since a vehicle with two or more steerable drive wheels is always traveling in a circle about an instantaneous center of rotation, the motion of the wheels is constrained. The wheel translational velocity divided by the radius to the center of rotation must be the same for all wheels. When the drive wheels are controlled independently using position control, the motion of the wheels may violate the constraints and the wheels may slip. Consequently, substantial errors can occur in the position and orientation of the vehicle. A vehicle with N steerable drive wheels has N holonomic constraints on the steering angles, (N-1) nonholonomic constraints on the wheel velocities, and one degree of freedom. The authors have developed a new approach to the control of a vehicle with N steerable drive wheels. The novel aspect of their approach is the introduction of variables to control the constraint forces. To control the vehicle, the authors have one variable to control motion and (N-1) variables that can control the constraint forces to reduce errors. Kankaanranta and Koivo (1988) developed a control architecture that allows the control variables for force and position to be decoupled. In the work of Kankaaranta and Koivo the control variables for force are an exogenous input. The authors have made the central variables for force endogenous by defining them in terms of the errors in satisfying the nonholonomic constraints. The authors have applied the control architecture to the HERMIES-III robot and have measured a dramatic reduction in error (more than a factor of 20) compared to motions without constraint force control.>
David B. Reister, Michael A. Unseren
IEEE Trans. Robotics Autom.2
1989 Reduced order model and decoupled control architecture for two manipulators holding an object
abstract
A dynamical model and a control architecture are developed for the closed-chain motion of two N-joint manipulators holding a rigid object in a three-dimensional workspace. Dynamic and kinematic constraints are determined and combined with the equations of motion of the manipulators to obtain a dynamical model of the entire system in the joint space. Reduced-order equations of motion and a functional relation for the generalized contact forces are developed. The problem of solving the reduced-order model for the forward and inverse dynamics is discussed. Control laws are determined so as to decouple the force-controlled and position-controlled degrees of freedom during motion of the system.>
Michael A. Unseren, Antti J. Koivo
ICRA1