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Jiyeon Maeng

dblp:357/5281 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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 · 67% Legged, aerial and field robots · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mechanical design
compliant mechanism
0.812024
Anisotropic body compliance facilitates robotic sidewinding in complex environments · ICRA 2024
Robotics › Legged, aerial and field robots › undulatory locomotion
sidewinding
0.812024
Anisotropic body compliance facilitates robotic sidewinding in complex environments · ICRA 2024
Robotics › Robot manipulation
soft robotics
0.812024
Anisotropic body compliance facilitates robotic sidewinding in complex environments · ICRA 2024

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

feedforward control · 0.8cable actuation · 0.8
YearPublicationVenuePosition
2024 Anisotropic body compliance facilitates robotic sidewinding in complex environments
abstract
Sidewinding, a locomotion strategy characterized by the coordination of lateral and vertical body undulations, is frequently observed in rattlesnakes and has been successfully implemented by limbless robotic systems for effective movement across diverse terrestrial terrains. However, the integration of compliant mechanisms into sidewinding limbless robots remains less explored, posing challenges for navigation in complex, rheologically diverse environments. Inspired by a notable control simplification via mechanical intelligence in lateral undulation [1], which offloads feedback control to passive body mechanics and interactions with the environment, we present an innovative design of a mechanically intelligent limbless robot for sidewinding. This robot features a decentralized bilateral cable actuation system that resembles organismal muscle actuation mechanisms. We develop a feedforward controller that incorporates programmable body compliance into the sidewinding gait template. Our experimental results highlight the emergence of mechanical intelligence when the robot is equipped with an appropriate level of body compliance. This allows the robot to 1) locomote more energetically efficiently, as evidenced by a reduced cost of transport, and 2) navigate through terrain heterogeneities, all achieved in an open-loop manner, without the need for environmental awareness.
Velin Kojouharov, Tianyu Wang 0010, Matthew Fernandez, Jiyeon Maeng, Daniel I. Goldman
ICRA4