Papers
13
Total Citations
74
H-Index
6
About
Zixin Huang is a robotics and control systems researcher whose work spans intelligent motion planning, underactuated mechanical systems, and soft robotics. His most significant contributions lie in the development of advanced control strategies for planar underactuated robots, including R-type and prismatic-rotational configurations, where his iterative and intelligent algorithm-based methods address longstanding challenges in nonlinear control and stability. His 2024 survey of planar underactuated mechanical systems has already garnered seven citations, reflecting its value as a reference for the research community. Huang's work on trajectory optimization is equally impactful — his energy-efficient trajectory planning method for welding robots, employing an improved sparrow search algorithm, earned 16 citations within its first year of publication, signaling strong practical relevance to industrial robotics. Beyond rigid systems, he explores soft robotics and biomedical applications, contributing innovations in soft tactile actuators for pulse detection, pneumatic physiotherapy robots, and soft grippers with hysteresis compensation for industrial mineral processing. His foray into computer vision, particularly the NAN-DETR object detection framework for robotic applications, further demonstrates the breadth of his research interests. Collectively, his work positions him as a versatile contributor bridging theoretical control design and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Survey of Planar Underactuated Mechanical System7 citations · 2024
- 4NAN-DETR: noising multi-anchor makes DETR better for object detection6 citations · 2024
- 5Human Pulse Detection by a Soft Tactile Actuator6 citations · 2022
- 6
- 7
- 8Distributed Pneumatic Physiotherapy Robot for Human Acupoints5 citations · 2023
- 9
- 10Information Express of Soft Bionic Finger Based on Visual Recognition2 citations · 2023