Demo Data from EDBT 2026 / reviewers in the wild / expert
Simeon Nedelchev
dblp:233/0534
· DBLP profile ↗
4ranked-venue papers
4as first author
1since 2021 · last 2021
0000-0003-1588-8260ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 first-author · 1 since 2021Systems, architecture and hardware · 4 · 4 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
2 papers |
Motion planning and robot control · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.5 | 2 | 2021 | High-Bandwidth Control of Twisted String Actuators · ICRA 2019 On Smooth Time-Optimal Trajectory Planning in Twisted String Actuators · ICRA 2021 |
Robotics › Motion planning and robot control › trajectory planning
time-optimal trajectory planning |
0.5 | 1 | 2021 | On Smooth Time-Optimal Trajectory Planning in Twisted String Actuators · ICRA 2021 |
Robotics › Motion planning and robot control
trajectory optimization |
0.5 | 1 | 2021 | On Smooth Time-Optimal Trajectory Planning in Twisted String Actuators · ICRA 2021 |
Robotics › Motion planning and robot control › robot control
adaptive control |
0.4 | 1 | 2019 | High-Bandwidth Control of Twisted String Actuators · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
online parameter estimation · 0.4feedforward control · 0.4adaptive control · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | On Smooth Time-Optimal Trajectory Planning in Twisted String Actuators
Simeon Nedelchev, Daniil Kirsanov, Igor Gaponov, HyeonSeok Seong, Jee-Hwan Ryu |
ICRA | 1 |
| 2020 | IMU-based Parameter Identification and Position Estimation in Twisted String ActuatorsabstractThis study proposes a technique to estimate the output state of twisted string actuators (TSAs) based on payload's acceleration measurements. We outline differential kinematics relationships of the actuator, re-formulate these into a nonlinear parameter identification problem and then apply linearization techniques to efficiently solve it as a quadratic program. Using accurate estimates of string parameters obtained with the proposed method, we can predict TSA position with sub-millimeter accuracy via conventional kinematic relationships. In addition, the proposed method supports accurate estimation under varying operating conditions, unpredictable perturbations, and poorly-excited trajectories. This technique can be employed to improve the accuracy of trajectory tracking when the use of direct position measurements is challenging, with the list of potential applications including flexible and soft robots, long-span cable robots, multi-DOF joints and others. Simeon Nedelchev, Daniil Kirsanov, Igor Gaponov |
IROS | 1 |
| 2019 | High-Bandwidth Control of Twisted String ActuatorsabstractTwisted string actuators are an emerging type of transmission systems that may benefit various applications of robotics and mechatronics. However, control of TSAs in applications that require high bandwidth has attracted comparatively little interest from research community, mainly due to complexity of twisted string behavior. This paper proposes a new adaptive control methodology that allows to sufficiently increase bandwidth of TSA-based systems. We reformulate mathematical model of the TSA into a suitable form for online parameter estimation, outline adaptive estimation methods and propose a method to design variable controller gain that rectifies nonlinearities in the system. we present experimental comparison of proposed adaptive control strategies with two conventional tsa control techniques. experimental results demonstrated that the proposed adaptive control architecture with feedforward speed term was nearly insensitive to increase in input signal frequency while reducing position tracking error by 80%. proposed algorithm can be applied in any tsa control system that has input and output signal measurements. Simeon Nedelchev, Igor Gaponov, Jee-Hwan Ryu |
ICRA | 1 |
| 2018 | Design of Robotic Gripper with Constant Transmission Ratio Based on Twisted String Actuator: Concept and EvaluationabstractRobotic systems for object handling and manipulation are hugely important for modern engineering and industry, with their efficiency, agility and robustness often depending on gripper design and performance. In this work, we investigate a gripper design that, when driven by a twisted string actuator, exhibits nearly-constant transmission ratio throughout its motion range. This allows for design of a highly-compact, modular and efficient robotic gripper driven by a low-power motor. We investigate kinematics of the device, experimentally verify developed models with a practical gripper testbed, and analyze transmission ratio and efficiency of the designed device. The resulting system has a nearly-constant transmission ratio of 550, with the constancy coefficient of 0.985. Simeon Nedelchev, Igor Gaponov, Jee-Hwan Ryu |
IROS | 1 |