Sheila Sutjipto
Papers
10
Total Citations
129
H-Index
5
About
Sheila Sutjipto is a researcher at the intersection of advanced manufacturing, human-robot interaction, and assistive robotics. Her most cited work, "Effects of deposition velocity in the presence/absence of E6-glass fibre on extrusion-based 3D printed mortar" (70 citations), demonstrates her foundational contributions to digital construction and materials science. She has pioneered intuitive control interfaces for robotics, notably through her work on Virtual Reality-based control of mobile manipulators (14 citations) and visual feedback loops for robot-controlled additive manufacturing (16 citations). In healthcare robotics, Sutjipto developed GAVRe², a gamified VR rehabilitation framework (12 citations) that integrates haptic feedback for upper-limb therapy. Her recent research pushes boundaries in assistive technology, including a multi-modal perception pipeline combining RGB, event, and LiDAR data for guide-dog-like robots (2024), and digital twin-based teleoperation for hazardous mining environments (2025). With publications spanning from 2018 to 2025, Sutjipto’s work consistently addresses real-world challenges—from construction automation to rehabilitation and safety—demonstrating a commitment to translating robotic innovation into practical, human-centered solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Visual Feedback Loops for Robot-Controlled Additive Manufacturing16 citations · 2018
- 3Intuitive Virtual Reality based Control of a Real-world Mobile Manipulator14 citations · 2020
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- 5Fitts’ law in the presence of interface inertia5 citations · 2020
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