Zobrazeno 1 - 10
of 1 783
pro vyhledávání: '"physical human-robot interaction"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
IntroductionRobot-assisted mirror therapy has been widely developed to help remodeling of premotor cortex for patients suffering from motor disability of limbs. Nevertheless, it is difficult to achieve real-time adaptive control in robot-assisted mir
Externí odkaz:
https://doaj.org/article/69dcac8ebf2b4dda9a36bdb02cd45798
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 2, pp. 326-339.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-11-2023-0284
Publikováno v:
IEEE Access, Vol 12, Pp 175511-175524 (2024)
Recently, there has been increasing interest in physical human-robot interaction (pHRI) of social robots. This paper proposes a model predictive control (MPC)-based approach to realize various pHRI gestures of a social robot. For stable human-robot i
Externí odkaz:
https://doaj.org/article/ebc8d120c4e94098b9840ffc3680940e
Publikováno v:
IEEE Access, Vol 12, Pp 124931-124942 (2024)
Robot-mediated physical interaction between humans, or physical Human-Robot-Human Interaction (pHRHI for short) can transcend the physical constraints associated with direct human-human interaction such as constant interaction medium and the need for
Externí odkaz:
https://doaj.org/article/2c0f0136c5a24da4bfaa45d22bcc50e2
Publikováno v:
IEEE Access, Vol 12, Pp 101436-101456 (2024)
Uncoupled stability analysis is valuable for assessing the stability of haptic interaction, since the interaction between a stable haptic device and a human operator maintains stability. Previous analyses have primarily focused on the normalized para
Externí odkaz:
https://doaj.org/article/48a36b92ca9142438e5e811389c41319
Autor:
Jaewon Byun, Keehoon Kim
Publikováno v:
IEEE Access, Vol 12, Pp 66100-66109 (2024)
This paper discusses the benefits of employing surface electromyography (sEMG) signals for power-assisted control to recognize human motion intention swiftly and efficiently from an agility perspective. A majority of power-assisted control systems us
Externí odkaz:
https://doaj.org/article/0aa8a4baa553461c9020696261bfcbf5
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1841-1850 (2024)
Neck muscle weakness due to amyotrophic lateral sclerosis (ALS) can result in dropped head syndrome, adversely impacting the quality of life of those affected. Static neck collars are currently prescribed to hold the head in a fixed upright position.
Externí odkaz:
https://doaj.org/article/19be3fce41f14040b90b6620f6882fa0
Effectiveness of Intelligent Control Strategies in Robot-Assisted Rehabilitation—A Systematic Review
Autor:
Dexter Felix Brown, Sheng Quan Xie
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1828-1840 (2024)
This review aims to provide a systematic analysis of the literature focused on the use of intelligent control systems in robotics for physical rehabilitation, identifying trends in recent research and comparing the effectiveness of intelligence used
Externí odkaz:
https://doaj.org/article/1587f7db226a4e49b90b6cfb56e4e642
Publikováno v:
IEEE Access, Vol 12, Pp 44125-44134 (2024)
Compliant physical human-robot interaction (pHRI), as well as the accuracy and robustness of trajectory tracking, are crucial for rehabilitation robots. In this paper, a new sitting/lying lower limb rehabilitation robot, SUT-SLLRR, has been designed
Externí odkaz:
https://doaj.org/article/9ffb8620c5954031bd42e9f3721262cc
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 314-324 (2024)
Adaptive compliance control is critical for rehabilitation robots to cope with the varying rehabilitation needs and enhance training safety. This article presents a trajectory deformation-based multi-modal adaptive compliance control strategy (TD-MAC
Externí odkaz:
https://doaj.org/article/79cd4aa6293547fb986bd65d9e4bfd4a