EDBT 2026 Demo / reviewers in the wild / expert
Jinyeong Jeong
dblp:324/6305
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0002-7645-6579ORCID · corroborated
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
2 papers |
Motion planning and robot control · 57% Legged, aerial and field robots · 30% Robot manipulation · 8% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
impedance control |
1.2 | 2 | 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators · ICRA 2023 A Memory-based SO(3) Parameterization: Theory and Application to 6D Impedance Control with Radially Unbounded Potential Function · ICRA 2022 |
Robotics › Motion planning and robot control
robot control |
1.2 | 2 | 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators · ICRA 2023 A Memory-based SO(3) Parameterization: Theory and Application to 6D Impedance Control with Radially Unbounded Potential Function · ICRA 2022 |
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
aerial manipulation |
0.7 | 1 | 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators · ICRA 2023 |
Robotics › Legged, aerial and field robots
aerial robots |
0.7 | 1 | 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators · ICRA 2023 |
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
cooperative control |
0.2 | 1 | 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators · ICRA 2023 |
Robotics › Robot manipulation
dexterous manipulation |
0.2 | 1 | 2022 | A Memory-based SO(3) Parameterization: Theory and Application to 6D Impedance Control with Radially Unbounded Potential Function · ICRA 2022 |
Robotics › Robot manipulation
grasping, dexterous and mobile manipulation |
0.2 | 1 | 2022 | A Memory-based SO(3) Parameterization: Theory and Application to 6D Impedance Control with Radially Unbounded Potential Function · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
passivity-based control · 0.7decentralized control · 0.7radially unbounded potential function · 0.6memory-based SO(3) parameterization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Passivity-based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial ManipulatorsabstractThis paper proposes a decentralized passive impedance control scheme for collaborative grasping using under-actuated aerial manipulators (AMs). The AM system is formulated, using a proper coordinate transformation, as an inertially decoupled dynamics with which a passivity-based control design is conducted. Since the interaction for grasping can be interpreted as a feedback interconnection of passive systems, an arbitrary number of AMs can be modularly combined, leading to a decentralized control scheme. Another interesting consequence of the passivity property is that the AMs automatically converge to a certain configuration to accomplish the grasping. Collaborative grasping using 10 AMs is presented in simulation. Jinyeong Jeong, Minjun Kim 0003 |
ICRA | 1 |
| 2022 | A Memory-based SO(3) Parameterization: Theory and Application to 6D Impedance Control with Radially Unbounded Potential FunctionabstractThis paper proposes a parameterization method to represent SO (3) over multiple turns. This method is called a memory-based parameterization, because the idea is to integrate the past trajectory of exponential coordinates. The parameterization is consistent in the sense that the true rotation matrix can be reconstructed by using the exponential map. As an application of the proposed method, a 6D impedance controller is designed with a radially unbounded potential function. Consequently, in contrast to the conventional methods, an arbitrarily large angular deflection can be accommodated, resulting in a more realistic impedance behavior. The proposed schemes are validated through simulations and experiments. Jinyeong Jeong, Hrishik Mishra, Christian Ott 0001, Minjun Kim 0003 |
ICRA | 1 |