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Shotaro Itahara

dblp:416/6340 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.912025
Modeling and Control of Aerial Robot SERPENT: A Soft Structure Incorporated Multirotor Aerial Robot Capable of In-Flight Flexible Deformation · ICRA 2025
Robotics › Motion planning and robot control › robot control › flexible structure control
deformation control
0.912025
Modeling and Control of Aerial Robot SERPENT: A Soft Structure Incorporated Multirotor Aerial Robot Capable of In-Flight Flexible Deformation · ICRA 2025
Robotics › Legged, aerial and field robots › aerial robot control
multirotor aerial vehicle control
0.912025
Modeling and Control of Aerial Robot SERPENT: A Soft Structure Incorporated Multirotor Aerial Robot Capable of In-Flight Flexible Deformation · ICRA 2025
Robotics › Motion planning and robot control
robot control
0.912025
Modeling and Control of Aerial Robot SERPENT: A Soft Structure Incorporated Multirotor Aerial Robot Capable of In-Flight Flexible Deformation · ICRA 2025

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

piecewise constant strain model · 0.9model-based control · 0.9
YearPublicationVenuePosition
2025 Modeling and Control of Aerial Robot SERPENT: A Soft Structure Incorporated Multirotor Aerial Robot Capable of In-Flight Flexible Deformation
abstract
This paper introduces a novel method for controlling multirotor aerial robots connected by passive flexible elements. Despite the growing popularity of multirotor aerial robots, their real-world applications remain limited due to difficulties adapting to complex environments. Soft robotics, due to its inherent flexibility, offers a potential solution, although research on integrating flexible elements into aerial robots is still in the early stages. In this study, we propose control methods for a system where multiple aerial robots are interconnected with passive flexible elements. These robotic systems enhance adaptability, enabling tasks like object manipulation. We model the flexible parts using the piecewise constant strain (PCS) model, which allows for model-based closed-loop control and stabilizes various configurations of the system. Through simulations and experiments, we validated that the proposed method achieves both stable flight and flexible deformation. Notably, we succeeded in maintaining stable flight, which traditional methods could not achieve, and demonstrated both positional controllability and the ability of the flexible parts to bend dynamically during flight.
Shotaro Itahara, Takuzumi Nishio, Taiki Ishigaki, Junichiro Sugihara, Moju Zhao, Ko Yamamoto 0001
ICRA1