Publications by authors named "Temesgen Gebrekristos"
Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces.
ACM Trans Hum Robot Interact
September 2024
Article Synopsis
- * In a study involving non-injured participants, the effectiveness of a high-dimensional BoMI to control a robotic arm was examined over five sessions.
- * Findings indicate that how robot control is mapped from human inputs affects learning; while joint space control is easier to start with, task space control leads to better long-term performance and learning outcomes.
Individuals who suffer from severe paralysis often lose the capacity to perform fundamental body movements and everyday activities. Empowering these individuals with the ability to operate robotic arms, in high degrees-of-freedom (DoFs), can help to maximize both functional utility and independence. However, robot teleoperation in high DoFs currently lacks accessibility due to the challenge in capturing high-dimensional control signals from the human, especially in the face of motor impairments.
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