THETA: Triangulated Hand-State Estimation for Teleoperation and Automation in Robotic Hand Control
Published in IEEE 11th International Conference on Engineering and Emerging Technologies (ICEET), 2025
Utilizing multi-view image segmentation and machine-learning classification to remote control dexterous robotic finger movement.
Recommended citation: A. Huang and A. Karthik, "THETA: Triangulated Hand-State Estimation for Teleoperation and Automation in Robotic Hand Control," 2025 International Conference on Engineering and Emerging Technologies (ICEET), Kuala Lumpur, Malaysia, 2025, pp.1-6, doi: TBA.
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