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Behzad Moslehi

dblp:52/2099 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-8153-0884ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 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
2 papers
Robot manipulation · 68% Motion planning and robot control · 32%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
force sensing
0.222009
Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009
Fingertip force control with embedded fiber Bragg grating sensors · ICRA 2008
Robotics › Robot manipulation › robot design › manipulator design
end-effector design
0.112009
Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control › robot control
force control
0.112008
Fingertip force control with embedded fiber Bragg grating sensors · ICRA 2008
Robotics › Motion planning and robot control
robot control
0.112008
Fingertip force control with embedded fiber Bragg grating sensors · ICRA 2008
Robotics › Robot manipulation
tactile sensing
0.112008
Fingertip force control with embedded fiber Bragg grating sensors · ICRA 2008
Robotics › Motion planning and robot control › robot control › contact control › contact task control › robot force control
contact force control
0.012009
Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009
Robotics › Robot manipulation › grasping
multifingered hand
0.012009
Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009
Robotics › Robot manipulation
dexterous manipulation
0.012008
Fingertip force control with embedded fiber Bragg grating sensors · ICRA 2008

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

multi-material fabrication · 0.1fiber-bragg-grating interrogation · 0.1optical interrogation · 0.1nonlinear force control · 0.1
YearPublicationVenuePosition
2015 Design of an Optically Controlled MR-Compatible Active Needle
abstract
An active needle is proposed for the development of magnetic resonance imaging (MRI)-guided percutaneous procedures. The needle uses a low-transition-temperature shape memory alloy (LT SMA) wire actuator to produce bending in the distal section of the needle. Actuation is achieved with internal optical heating using laser light transported via optical fibers and side coupled to the LT SMA. A prototype, with a size equivalent to a standard 16-gauge biopsy needle, exhibits significant bending, with a tip deflection of more than 14° in air and 5° in hard tissue. A single-ended optical sensor with a gold-coated tip is developed to measure the curvature independently of temperature. The experimental results in tissue phantoms show that human tissue causes fast heat dissipation from the wire actuator; however, the active needle can compensate for typical targeting errors during prostate biopsy.
Seok Chang Ryu, Zhan Fan Quek, Je-Sung Koh, Pierre Renaud, Richard J. Black, Behzad Moslehi, Bruce Lewis Daniel, Kyu-Jin Cho, Mark R. Cutkosky
IEEE Trans. Robotics6
2013 Mr-compatible biopsy needle with enhanced tip force sensing
abstract
We describe an instrumented biopsy needle that provides physicians the capability to sense interaction forces directly at the tip of the needle's inner stylet. The sensors consist of optical fiber Bragg gratings (FBGs), and are unaffected by electromagnetic fields; hence the needle is suitable for MR-guided procedures. In comparison to previous instrumented needles that measure bending strains, the new design has additional sensors and a series of micro-machined holes at the tip. The holes increase strain sensitivity, especially to axial forces, without significantly reducing the stiffness or strength. A comparison of the dynamic forces measured with the new needle and those obtained using a force/torque sensor at the needle base shows that the enhanced tip sensitivity is particularly noticeable when there is significant friction along the needle sleeve.
Santhi Elayaperumal, Jung Hwa Bae, David L. Christensen, Mark R. Cutkosky, Bruce Lewis Daniel, Richard J. Black, Joannes M. Costa, Fereydoun Faridian, Behzad Moslehi
World Haptics9
2009 Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors
abstract
Force sensing is an essential requirement for dexterous robot manipulation. We describe composite robot end-effectors that incorporate optical fibers for accurate force sensing and estimation of contact locations. The design is inspired by the sensors in arthropod exoskeletons that allow them to detect contacts and loads on their limbs. In this paper, we present a fabrication process that allows us to create hollow multimaterial structures with embedded fibers and the results of experiments to characterize the sensors and controlling contact forces in a system involving an industrial robot and a two-fingered dexterous hand. We also briefly describe the optical-interrogation method used to measure multiple sensors along a single fiber at kilohertz rates for closed-loop force control.
Yong-Lae Park, Seok Chang Ryu, Richard J. Black, Kelvin Chau, Behzad Moslehi, Mark R. Cutkosky
IEEE Trans. Robotics5
2008 Fingertip force control with embedded fiber Bragg grating sensors
abstract
We describe the dynamic testing and control results obtained with an exoskeletal robot finger with embedded fiber optical sensors. The finger is inspired by the designs of arthropod limbs, with integral strain sensilla concentrated near the joints. The use of fiber Bragg gratings (FBGs) allows for embedded sensors with high strain sensitivity and immunity to electromagnetic interference. The embedded sensors are useful for contact detection and for control of forces during fine manipulation. The application to force control requires precise and high-bandwidth measurement of contact forces. We present a nonlinear force control approach that combines signals from an optical interrogator and conventional joint angle sensors to achieve accurate tracking of desired contact forces.
Yong-Lae Park, Seok Chang Ryu, Richard J. Black, Behzad Moslehi, Mark R. Cutkosky
ICRA4