Zobrazeno 1 - 10
of 1 684
pro vyhledávání: '"shared control"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/8c85102718cf4e548f3dc6945eab456f
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 10, Pp n/a-n/a (2024)
Retinal surgery requires enclosed spatial constraints to improve the safety and success of the surgery. Herein, a shared control method is proposed for master–slave robot systems, utilizing tubular guidance constraints based on a novel potential fi
Externí odkaz:
https://doaj.org/article/a5a4127fd23a4a398ccee5739ccb857d
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Robot control in complex and unpredictable scenarios presents challenges such as adaptability, robustness, and human-robot interaction. These scenarios often require robots to perform tasks that involve unknown objects in unstructured environments wi
Externí odkaz:
https://doaj.org/article/6f3ce10b434a4b8890fce692588c971d
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 2, pp. 301-313.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-07-2023-0154
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 4098-4108 (2024)
Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that use steady-state visually evoked potentials (SSVEPs) typically adopt a fully-autonomous goal-selection framework to control a robot, where automation is used to compensate for t
Externí odkaz:
https://doaj.org/article/15b6f41cf09349d48e17e221c528887d
Publikováno v:
IEEE Access, Vol 12, Pp 150395-150418 (2024)
With traditional autonomy systems still far from achieving level 5 autonomy, Parallel Autonomy (PA) systems demonstrate increased potential to enable driving for all, regardless of the driver’s ability to perform the dynamic driving task. Their maj
Externí odkaz:
https://doaj.org/article/81e97e7746a04ff387efdc25b595fbd3
Autor:
Fabiana Machado, Matheus Loureiro, Marcio Bezerra, Carla Zimerer, Ricardo Mello, Anselmo Frizera
Publikováno v:
Sensors, Vol 24, Iss 19, p 6212 (2024)
Robotic walking devices can be used for intensive exercises to enhance gait rehabilitation therapies. Mixed Reality (MR) techniques may improve engagement through immersive and interactive environments. This article introduces an MR-based multimodal
Externí odkaz:
https://doaj.org/article/97e2b8a1d3e64dd58dcf6699ff2600f3
Publikováno v:
Sensors, Vol 24, Iss 18, p 5875 (2024)
Brain-computer interface (BCI) provides direct communication and control between the human brain and physical devices. It is achieved by converting EEG signals into control commands. Such interfaces have significantly improved the lives of disabled i
Externí odkaz:
https://doaj.org/article/ea5b37e78c05492f94ee6c7ffa40a4f9
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
In a rapidly evolving digital landscape autonomous tools and robots are becoming commonplace. Recognizing the significance of this development, this paper explores the integration of Large Language Models (LLMs) like Generative pre-trained transforme
Externí odkaz:
https://doaj.org/article/a7f59dbeddb5486d98cd0cda386e3c63
Publikováno v:
Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-15 (2023)
Abstract The paper presents an approach to develop assistive devices by combining multimodal biosignals and radio frequency identification (RFID). The brain and eye signals have been used as multimodal biosignals to control the movement of a robot in
Externí odkaz:
https://doaj.org/article/728eb968e24f44318570709267af448e