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Shivangi Misra

dblp:251/9106 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 2 · 2 first-author · 2 since 2021

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
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
actuator design
0.712023
Design and Control of a Tunable-Stiffness Coiled-Spring Actuator · ICRA 2023
Robotics › Robot manipulation
soft robotics
0.212023
Design and Control of a Tunable-Stiffness Coiled-Spring Actuator · ICRA 2023
Robotics › Robot manipulation › actuator design › compliant actuator
variable stiffness actuation
0.212023
Design and Control of a Tunable-Stiffness Coiled-Spring Actuator · ICRA 2023

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

elastica nested rings model · 0.7
YearPublicationVenuePosition
2023 Design and Control of a Tunable-Stiffness Coiled-Spring Actuator
abstract
We propose a novel design for a lightweight and compact tunable stiffness actuator capable of stiffness changes up to 20x. The design is based on the concept of a coiled spring, where changes in the number of layers in the spring change the bulk stiffness in a near linear fashion. We present an elastica nested rings model for the deformation of the proposed actuator and empirically verify that the designed stiffness-changing spring abides by this model. Using the resulting model, we design a physical prototype of the tunable-stiffness coiled-spring actuator and discuss the effect of design choices on the resulting achievable stiffness range and resolution. In the future, this actuator design could be useful in a wide variety of soft robotics applications, where fast, controllable, and local stiffness change is required over a large range of stiffnesses.
Shivangi Misra, Mason Mitchell, Cynthia R. Sung
ICRA1
2022 Forward Kinematics and Control of a Segmented Tunable-Stiffness 3-D Continuum Manipulator
abstract
In this work, we consider the problem of controlling the end effector position of a continuum manipulator through local stiffness changes. Continuum manipulators offer the advantage of continuous deformation along their lengths, and recent advances in smart material actuators further enable local compliance changes, which can affect the manipulator's bulk motion. However, leveraging local stiffness change to control motion remains lightly explored. We build a kinematic model of a continuum manipulator as a sequence of segments consisting of symmetrically arranged springs around the perimeter of every segment, and we show that this system has a closed form solution to its forward kinematics. The model includes common constraints such as restriction of torsional or shearing movement. Based on this model, we propose a controller on the spring stiffnesses for a single segment and provide provable guarantees on convergence to a desired goal position. The results are verified in simulation and compared to physical hardware.
Shivangi Misra, Cynthia R. Sung
ICRA1