Demo Data from EDBT 2026 / reviewers in the wild / expert
Lishen Pu
dblp:383/4579
· DBLP profile ↗
1ranked-venue papers
1as 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 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 · 67% Motion planning and robot control · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion |
0.8 | 1 | 2024 | Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024 |
Robotics › Legged, aerial and field robots
passive dynamic walking |
0.8 | 1 | 2024 | Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024 |
Robotics › Motion planning and robot control
robot control |
0.8 | 1 | 2024 | Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
slope estimation · 0.8backstepping control · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Adaptive Passive Biped Dynamic Walking on Unknown Uneven TerrainabstractIn this paper, we propose an adaptive controller for virtual passive biped dynamic walking on unknown uneven terrain. The adaptive controller consists of a trajectory tracking control law developed via backstepping method to mimic reference passive gait, and a slope estimator for the inclination angle of the terrain. In addition, a re-planning approach is introduced to correct the robot state off-track from the reference gait due to the terrain changes. The controller is validated through the simulations on the mixed uneven terrain consisting of varying slopes and steps. The results suggest that the controller shows comparable cost of transport and greater adaptability to terrain changes compared with certain existing methods. Lishen Pu, Aiqun Zheng, Bofeng Qi, Chunquan Xu |
ICRA | 1 |