Demo Data from EDBT 2026 / reviewers in the wild / expert
Jingzong Zhou
dblp:382/6917
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · unresolved
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 · 38% Robot manipulation · 38% Motion planning and robot control · 19% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › field robotics
agricultural robotics |
0.9 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Robotics › Legged, aerial and field robots
field robotics |
0.9 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Robotics › Robot manipulation
grasping and manipulation skills |
0.9 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Robotics › Motion planning and robot control
motion planning |
0.9 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation |
0.9 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Robotics › Robot navigation and mapping › localization › odometry
LiDAR odometry |
0.3 | 1 | 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
teleoperation · 0.9learning-based visual perception · 0.9collision-free trajectory planning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal RobotsabstractThis paper addresses the challenge of developing a multi-arm quadrupedal robot capable of efficiently harvesting fruit in complex, natural environments. To overcome the inherent limitations of traditional bimanual manipulation, we introduce the first three-arm quadrupedal robot LocoHarv3, that builds on top of the Spot quadruped, and propose a novel hierarchical tri-manual planning approach for automated fruit harvesting with collision-free trajectories between the built-in end-effector of Spot and our custom-made bimanual manipulator. Our comprehensive semi-autonomous framework integrates teleoperation, supported by LiDAR-based odometry and mapping, with learning-based visual perception for accurate fruit detection and pose estimation. Validation is conducted through a series of controlled indoor experiments using motion capture and extensive field tests in natural settings. Results demonstrate a 90 % success rate in in-lab settings with a single attempt, and field trials further verify the system's robustness and efficiency in more challenging real-world environments. Jingzong Zhou, Konstantinos Karydis |
ICRA | 2 |
| 2024 | A parallel-actuated robot with two end-effector degrees-of-freedom: Application as a novel wearable head-neck traction braceabstractThis paper describes a parallel-actuated robotic mechanism designed to provide two degrees-of-freedom (DOF) to the end-effector relative to a fixed base. In a potential application as a head-neck traction brace, these two independent DOFs are the vertical translation of the head with respect to shoulders and a specified orientation of the head in lateral bending. Motivated by recommended clinical methods to apply traction forces on the head, it is designed to provide vertical traction force on the head while tilted in a specific orientation. The design has four chains starting from a base stationed at the shoulders, each chain having 5 DOFs. Each chain imposes a single constraint on the motion of the end-effector. Together, four chains would apply four constraints, allowing only two DOFs of motion to the end-effector. Two out of four component chains are actively driven by linear actuators. Our kinematic studies show that the achievable workspace of this mechanism with a specific stroke length of actuators of ± 50 mm results in 175-222 mm of vertical translation and up to ± 9◦of lateral bending. The lateral bending is coupled to the flexion/extension angle of the end-effector. A physical prototype was constructed to investigate the functional realization of the design in hardware. Overall, the physical prototype validated the motion of the theoretical model despite potential errors in the fabrication, making the design a candidate for potential head-neck traction application. Jingzong Zhou, Priya Kulkarni, Sunil K. Agrawal |
IROS | 1 |