3 accepted papers
Manually teleoperating a flying robot can be a demanding task, especially for users with limited levels of experience. This is primarily due to the non-linear properties of such robots in addition to the difficulty of controlling various degrees of freedom at the same time. 3D Autocomplete helps mit…
Tele-operating aerial vehicles without any automated assistance is challenging due to various limitations, especially for inexperienced users. Autocomplete addresses this problem by automatically identifying and completing the user's intended motion. Such a framework uses machine learning to recogni…
Remote controlling robots without any automated help is difficult due to various limitations. Autocomplete mitigates this difficulty by automatically detecting and completing the intended motions on robots from the input of the user. Such an approach can improve the system performance and reduce the…