Current researches and future development trend of intelligent robot: A review

TM Wang, Y Tao, H Liu - International Journal of Automation and …, 2018 - Springer
With the advancing of industrialization and the advent of the information age, intelligent
robots play an increasingly important role in intelligent manufacturing, intelligent …

The science and engineering behind sensitized brain-controlled bionic hands

C Pandarinath, SJ Bensmaia - Physiological Reviews, 2022 - journals.physiology.org
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

Inferring single-trial neural population dynamics using sequential auto-encoders

C Pandarinath, DJ O'Shea, J Collins, R Jozefowicz… - Nature …, 2018 - nature.com
Neuroscience is experiencing a revolution in which simultaneous recording of thousands of
neurons is revealing population dynamics that are not apparent from single-neuron …

Brain control of bimanual movement enabled by recurrent neural networks

DR Deo, FR Willett, DT Avansino, LR Hochberg… - Scientific Reports, 2024 - nature.com
Brain-computer interfaces have so far focused largely on enabling the control of a single
effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion …

A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces

SR Nason, AK Vaskov, MS Willsey, EJ Welle… - Nature biomedical …, 2020 - nature.com
The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …

Rapid calibration of an intracortical brain–computer interface for people with tetraplegia

DM Brandman, T Hosman, J Saab… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Brain–computer interfaces (BCIs) can enable individuals with tetraplegia to
communicate and control external devices. Though much progress has been made in …

Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm

V Mondini, RJ Kobler, AI Sburlea… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Continuous decoding of voluntary movement is desirable for closed-loop, natural
control of neuroprostheses. Recent studies showed the possibility to reconstruct the hand …

The state of clinical trials of implantable brain–computer interfaces

KM Patrick-Krueger, I Burkhart… - Nature reviews …, 2025 - nature.com
Implanted brain–computer interfaces (iBCIs) translate brain activity recorded intracranially
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …

human intracortical recording and neural decoding for brain–computer interfaces

DM Brandman, SS Cash… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) use neural information recorded from the brain for the
voluntary control of external devices. The development of BCI systems has largely focused …

Estimating risk for future intracranial, fully implanted, modular neuroprosthetic systems: a systematic review of hardware complications in clinical deep brain …

AJ Bullard, BC Hutchison, J Lee, CA Chestek… - … : Technology at the …, 2020 - Elsevier
Objective A new age of neuromodulation is emerging: one of restorative neuroengineering
and neuroprosthetics. As novel device systems move toward regulatory evaluation and …