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Jingzong Zhou

dblp:382/6917 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
agricultural robotics
0.912025
Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025
Robotics › Legged, aerial and field robots
field robotics
0.912025
Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025
Robotics › Robot manipulation
grasping and manipulation skills
0.912025
Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025
Robotics › Motion planning and robot control
motion planning
0.912025
Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation
0.912025
Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots · ICRA 2025
Robotics › Robot navigation and mapping › localization › odometry
LiDAR odometry
0.312025
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
YearPublicationVenuePosition
2025 Hierarchical Tri-Manual Planning for Vision-Assisted Fruit Harvesting with Quadrupedal Robots
abstract
This 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
ICRA2
2024 A parallel-actuated robot with two end-effector degrees-of-freedom: Application as a novel wearable head-neck traction brace
abstract
This 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
IROS1