Harim Ji

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About

Harim Ji is a rising researcher at the intersection of computer vision and human-robot interaction, with a primary focus on hand tracking and teleoperation systems. Their work addresses a critical gap in robotic control: the need for intuitive, spatially-aware interfaces that give operators full situational awareness. Ji’s most cited paper, “Hand Tracking: Survey” (2024, 8 citations), provides a comprehensive overview of the field, establishing a foundational reference for researchers working on gesture-based control. In their more recent work, “Human-in-the-Loop Gaussian Splatting for Robotic Teleoperation” (2025, 3 citations), Ji tackles the persistent problem of tunnel-vision in remote operation. By integrating Gaussian splatting—a cutting-edge 3D scene representation—into a human-in-the-loop framework, they demonstrate how operators can perceive collision clearances and task-critical geometry in full detail, moving beyond the weak depth cues of traditional camera streams. This innovation promises to make teleoperation safer and more precise, with applications in hazardous environments and remote surgery. Ji’s work is already shaping how researchers think about 3D perception for interactive robotics.