Mason Mitchell

dblp:353/5846 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 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
ICRA2