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Zhenguo Sun

dblp:40/1986 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-3888-9699ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 since 2021Systems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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
2 papers
Robot manipulation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.122004
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function · ICRA 2004
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force · ICRA 2003
Robotics › Robot manipulation › robotic hand
underactuated hand
0.122004
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function · ICRA 2004
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force · ICRA 2003
Robotics › Robot manipulation › grasping
adaptive grasping
0.012004
Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function · ICRA 2004
Robotics › Robot manipulation › grasping › grasp control
grasp force control
0.012003
Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force · ICRA 2003

Methods — techniques the papers use, named apart from their topics

mechanism design optimization · 0.0passive adaptive grasp mechanism · 0.0
YearPublicationVenuePosition
2026 UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance
Haojun Jiang, Zhenguo Sun, Yulin Wang 0002, Yu Sun 0020, Meng Li 0087, Shaqi Luo, Shiji Song, Gao Huang 0001
Pattern Recognit.3
2024 Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
Haojun Jiang, Zhenguo Sun, Meng Li 0087, Yu Sun 0020, Shaqi Luo, Shiji Song, Gao Huang 0001
MICCAI (1)2
2004 Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function
abstract
This paper proposed a design idea of a novel under-actuated finger mechanism, and designed the finger mechanism. The finger has no actuator in itself, is only driven by the other finger joints and object grasped. The finger is similar to a human finger and can be easily arranged in series to realize a finger with super under-actuation and high integration. It can be mounted in humanoid robot hand to make the hand obtain more DOFs with less actuators, and good grasping function of shape adaptation, decrease the requirement of control system. This paper analyzed the relationship between the grasping force of the finger and its design parameters, proposed the design principle of structure optimization of the finger. Based on the finger, a multi-fingered humanoid robot hand: TH-2 Hand has been designed. TH-2 Hand has many excellent features: high personification, super under-actuation and be very compact, easy to real-time control, small volume, light in weight, strong grasping function, etc.
Wenzeng Zhang, Qiang Chen 0009, Zhenguo Sun, Dongbin Zhao
ICRA3
2003 Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force
abstract
Conventional dexterous hands have too many DOFs, their driver systems are too big to be installed in a humanoid robot arm, and their controls are tool complex. This paper develops an under-actuated passive adaptive grasp humanoid robot hand named TH-1 hand with control of grasping force. With humanoid appearance and size, TH-1 hand is light, fewer DOFs, and can be easily controlled. Its motors and driver circuit boards are embedded in itself. These features make it fit to be installed in a humanoid robot arm. In addition, for stably grasping operation, a mechanical finger with control of grasping force is designed and applied in TH-1 hand's index. To get more DOFs with fewer drivers, a novel under-actuated passive adaptive grasp mechanical finger is design and applied in TH-1 hand's thumb.
Wenzeng Zhang, Qiang Chen 0009, Zhenguo Sun, Dongbin Zhao
ICRA3