Can-jun

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About

Can-jun’s research focuses on advancing robotic teleoperation and motion tracking systems, with key contributions in exoskeleton technology and sensor data fusion. Their early work on an exoskeleton arm with force feedback for bilateral teleoperation laid the groundwork for intuitive, haptic-enabled remote robot control, a critical area for applications in hazardous environments and medical robotics. Building on this, Can-jun developed a robust optical/inertial data fusion system that significantly improves the accuracy and reliability of robot manipulator motion tracking. By integrating inertial measurement units (IMUs) with optical tracking, their Kalman filter-based approach overcomes common occlusion and lighting issues, achieving superior performance over conventional optical systems. This work, cited in subsequent studies on sensor fusion and teleoperation, demonstrates Can-jun’s impact in enhancing robotic precision and robustness. Their contributions are particularly valuable for researchers and students exploring human-robot interaction, wearable robotics, and real-time motion capture, offering practical solutions for more responsive and resilient robotic systems.