Papers
2
Total Citations
5
H-Index
2
About
Xue Xiao’s research bridges the critical gap between theoretical robotics and real-world high-stakes applications, with a focus on live-maintenance robots and pneumatic artificial muscle (PAM) systems. In their foundational 2016 work, Xiao designed a control system for robots operating on energized transmission lines, leveraging the Denavit–Hartenberg (D-H) method for kinematic modeling. This integration of practical requirements with precise control coordination laid essential groundwork for autonomous maintenance in hazardous electrical environments. More recently, in 2024, Xiao tackled the persistent challenge of asymmetric hysteresis in PAM actuators—a key barrier to accurate, human-safe robotic interaction. By proposing a practical finite-time compliant control strategy under force-sensorless conditions, they demonstrated how to mitigate motion delays and enhance anti-disturbance capability, advancing the adaptability of soft robotics for high-intensity human-robot collaboration. While their citation counts (3 and 2, respectively) reflect the niche, emerging nature of their work, Xiao’s contributions are notable for their direct engineering impact: solving real-world control problems in energy and robotics sectors. Their research exemplifies how targeted, application-driven design can push the boundaries of compliant, safe automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2