3 accepted papers
Efficiently decoding human movement and/or intention is essential for controlling advanced prosthetic and robotic systems. Various muscle-machine interfaces have been researched for this purpose, including electromyography and lightmyography based interfaces. However, the decoding effectiveness of l…
Over the last decades, significant research effort has been put into creating Electromyography (EMG) based controllers for intuitive, hands-free control of robotic arms and hands. To achieve this, machine learning models have been employed to decode human motion and intention using EMG signals as in…
Telemanipulation is widely used in robotics applications, ranging from maintenance of various industrial systems to search and rescue response in remote and/or hazardous environments. Human operators are often responsible for the control of such robotic systems. However, these remote interactions re…