Demo Data from VLDB 2026 / reviewers in the wild / expert
Lingqi Tang
dblp:324/6900
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0002-3827-9612ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 2 · 1 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
1 paper |
Legged, aerial and field robots · 50% Motion planning and robot control · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
jumping robot |
0.6 | 1 | 2022 | The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot · ICRA 2022 |
Robotics › Motion planning and robot control › robot control › trajectory tracking
trajectory control |
0.6 | 1 | 2022 | The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
shape memory alloy actuation · 0.6PD control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | An Origami-Based Miniature Jumping Robot with Adjustable Jumping Trajectory and Enhanced Intermittent JumpsabstractA small-scale jumping robot can reach obstacles much larger than its size. It is important for a jumping robot to perform intermittent jumps to cross through rough terrains. However, the limitations of conventional structures hinder the further integration of functions to a miniature (sub-50 g) jumping robot. No sub-50 g jumpers could perform intermittent jumps with adjustable jumping trajectories. In this work, we proposed an origami-based miniature jumper, which performed intermittent jumps with adjustable omni-directional trajectories. The intermittent jumps were achieved by the jumping and self-righting mechanisms, which were actuated by a single motor. The clockwise and counterclockwise rotation of the motor actuated the loading, self-righting and triggering process, respectively. The jumping height was adjustable by adjusting the rotation angle of the motor. Meanwhile, the take-off pitch & yaw angle adjustment methods were integrated into the robot. Therefore, we demonstrated a 9 cm, 13.5 g prototype with functions of re-loading, self-righting, jumping height adjustment and take-off pitch & yaw angle adjustment. The robot could adjust jumping height from 16 to 34 cm and self-right for the next jump. The results revealed that our robot could jump across different obstacles with different scales and directions. The mobility was greatly increased compared with other miniature jumping robots. Zhipeng Xiong, Lingqi Tang, Longlong Hu, Yao Li 0014, Bing Li 0015 |
IROS | 2 |
| 2022 | The Feedback Trajectory Control of a SMA-Driven Miniature Jumping RobotabstractJumping motion is an effective way to overcome large obstacles, especially for the miniature robots. However, controlling of the jumping trajectory on a centimeter scale robot is not easy due to the limitation of size and payload. None of the jumping robots lighter than 90 g achieved the feedback control of their jumping height and take-off angle independently. In this work, we proposed a miniature 6 g jumping robot that ensured the feedback control of jumping trajectory. Two simple PD controllers were used in take-off angle and jumping height control, respectively. The robot can control its jumping height from 0 to 73cm, take-off angle from −20° to +20° with respect to the vertical direction. The control errors of the jumping height and the take-off angle were less than 5 cm and 2°, respectively. The robot can hop upon different obstacles exactly, greatly increased the controllability of the micro jumping robot. Lingqi Tang, Xuelin Wu, Yao Li 0014, Bing Li 0015 |
ICRA | 1 |