Papers
11
Total Citations
78
H-Index
5
About
Zhiyan Dong is a leading researcher in robotics and autonomous systems, with a focus on control theory, fault tolerance, and multi-robot coordination. Their work spans trajectory tracking for robotic manipulators, miniature ultrasonic motor design, and resilient control for quadruped robots—where they pioneered a multi-task learning approach to active fault-tolerant control, enabling robots to sense and recover from leg failures during outdoor exploration. Dong’s contributions to swarm robotics include developing Byzantine fault-tolerant algorithms for UAV exploration and a brain-computer interface (BCI) motion control system for heterogeneous robot swarms, integrating human brainwave signals with robotic coordination. Their highly cited papers—such as the model-free adaptive control study (23 citations) and the I-shaped linear ultrasonic motor design (15 citations)—demonstrate significant impact. Dong has also authored comprehensive surveys on SLAM and land-air amphibious robots, and explored deep reinforcement learning for flying quadruped robots. Their work on BPMN-based process automation further advances unmanned factory collaboration. With over 80 total citations and a growing portfolio, Dong is shaping the future of robust, adaptive, and human-integrated robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4UAV Swarm Exploration With Byzantine Fault Tolerance8 citations · 2021
- 5A BCI-Based Motion Control System for Heterogeneous Robot Swarm6 citations · 2022
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- 7Single-sensor-based and multi-sensor fusion SLAM: a survey4 citations · 2024
- 8Land-Air Amphibious Robots: A Survey3 citations · 2024
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- 10A BPMN-Engine Based Process Automation System2 citations · 2022