Demo Data from EDBT 2026 / reviewers in the wild / expert
Sarsenbek Hazken
dblp:309/1968
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 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% Multi-agent systems · 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 › field robotics
climbing robot |
0.6 | 1 | 2022 | CCRobot-V: A Silkworm-Like Cooperative Cable-Climbing Robotic System for Cable Inspection and Maintenance · ICRA 2022 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.6 | 1 | 2022 | CCRobot-V: A Silkworm-Like Cooperative Cable-Climbing Robotic System for Cable Inspection and Maintenance · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
winch and steel wire locomotion · 0.6self-locking palms · 0.6cooperative multi-robot system · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | CCRobot-V: A Silkworm-Like Cooperative Cable-Climbing Robotic System for Cable Inspection and MaintenanceabstractThis paper presents CCRobot-V, the fifth version of CCRobot, a cooperative serial multi-robot system for bridge cable inspection and maintenance that uses silkworm-like locomotion to climb the entire length of super-long stay cable at high speeds while carrying heavy inspection/maintenance equipment. CCRobot-V consists of one climbing precursor robot, one inspection/maintenance robot, several cable-carrying robots, and a power-tethered cable guiding system. The pre-cursor robot is the “head,” which leads the affiliated sub-robots along the bridge cable. Every sub-robot possesses a pair of self-locking palms. When a sub-robot grips on the bridge cable with its palms, it becomes a fixed anchor point that allows the adjacent sub-robots in front and back to use winches and steel wires to pull themselves upward. With this cooperative multi-robot system, cable inspection/maintenance tasks can be divided into several functional units, with each inspection/maintenance equipment installed separately on a customized sub-robot. Thus, CCRobot-V provides a complete mobile inspection/maintenance work line for a bridge cable. The experimental and field tests demonstrate CCRobot-V's high climbing speed, high payload capacity, and full-length cable moving capability. It has the potential application value for the actual bridge cable inspection/maintenance. Zhenliang Zheng, Ning Ding 0003, Huaping Chen 0005, Xiaoli Hu, Xueqi Fu, Sarsenbek Hazken, Ziya Wang |
ICRA | 9 |
| 2021 | CCRobot-IV-F: A Ducted-Fan-Driven Flying-Type Bridge-Stay-Cable Climbing RobotabstractA Flying-type cable climbing robot, CCRobot-IV-F, is presented in this paper. It is a climbing precursor of the fourth version of CCRobot, designed to surpass the abilities of previous robots with high climbing speed and obstacle-crossing capability. CCRobot-IV-F weighs less than 10 kg and a no-load speed of up to 4.5 m/s, which significantly exceeds that of other climbing robots. A dynamic model integrated with a cable-fixed coordinate system is developed, and a cascaded controller designed for stabilizing hover and climb with grippers, when a Global Positioning System and magnetometer are unavailable, is shown to work reliably in practice. Experimental results show that CCRobot-IV-F significantly improves the locomotive performance of CCRobot-IV, exhibiting fast speed, good payload capacity, and excellent obstacle-crossing capability. Moreover, CCRobot-IV-F is applied to a cable-stayed bridge in the field. Zhenliang Zheng, Xueqi Fu, Sarsenbek Hazken, Huaping Chen 0005, Ning Ding 0003 |
IROS | 4 |