Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yi-Syuan Shen
dblp:242/4395
· DBLP profile ↗
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 · 39% Motion planning and robot control · 30% Robot manipulation · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › force sensing
contact force estimation |
0.9 | 1 | 2025 | Contact Force Estimation for a Leg-Wheel Transformable Robot With Varying Contact Points · ICRA 2025 |
Robotics › Motion planning and robot control › locomotion control
legged robot control |
0.9 | 1 | 2025 | Contact Force Estimation for a Leg-Wheel Transformable Robot With Varying Contact Points · ICRA 2025 |
Robotics › Legged, aerial and field robots › wheel-legged robot
leg-wheel transformable robot |
0.9 | 1 | 2025 | Contact Force Estimation for a Leg-Wheel Transformable Robot With Varying Contact Points · ICRA 2025 |
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion |
0.3 | 1 | 2025 | Contact Force Estimation for a Leg-Wheel Transformable Robot With Varying Contact Points · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
virtual work method · 0.9kinematic modeling · 0.9jacobian derivation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Contact Force Estimation for a Leg-Wheel Transformable Robot With Varying Contact PointsabstractAccurate estimation of contact forces is crucial for effective control of quadrupedal robots, especially in complex locomotion scenarios. In this paper, we introduce a novel force estimation technique for robots equipped with transformable leg-wheels. Unlike conventional methods that focus on forces at specific contact points, our approach expresses varying contact points through a simplified kinematic model and derives the corresponding Jacobian matrices. This allows us to apply the virtual work method to evaluate contact forces across the entire surface of the leg-wheel, including the tips, sides, and other contact regions. This adaptability is particularly advantageous in hybrid locomotion modes, where different parts of the leg-wheel interact with the terrain. The proposed method is highly efficient, relying solely on motor current and position feedback without the need for additional sensors. We validate our approach through simulations and real-world experiments, demonstrating its accuracy, robustness, and applicability under diverse operational conditions. Yi-Syuan Shen, Wei-Shun Yu, Pei-Chun Lin |
ICRA | 1 |