Sort and deep-SORT based multi-object tracking for mobile robotics: Evaluation with new data association metrics
Multi-Object Tracking (MOT) techniques have been under continuous research and
increasingly applied in a diverse range of tasks. One area in particular concerns its …
increasingly applied in a diverse range of tasks. One area in particular concerns its …
Artificial intelligence algorithms in visual evoked potential-based brain-computer interfaces for motor rehabilitation applications: systematic review and future directions
J Gutierrez-Martinez, JA Mercado-Gutierrez… - Frontiers in human …, 2021 - frontiersin.org
Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG)
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …
A self-paced BCI with a collaborative controller for highly reliable wheelchair driving: Experimental tests with physically disabled individuals
Brain-controlled wheelchairs (BCWs) are a promising solution for people with severe motor
disabilities, who cannot use conventional interfaces. However, the low reliability of …
disabilities, who cannot use conventional interfaces. However, the low reliability of …
Noninvasive EEG-Based Intelligent Mobile Robots: A Systematic Review
Brain-controlled mobile robotics can provide restoration of mobility for individuals with
severe physical disabilities and empower healthy people with a broader reachable range in …
severe physical disabilities and empower healthy people with a broader reachable range in …
Self-paced operation of a wheelchair based on a hybrid brain-computer interface combining motor imagery and P300 potential
Y Yu, Z Zhou, Y Liu, J Jiang, E Yin… - … on Neural Systems …, 2017 - ieeexplore.ieee.org
This paper presents a hybrid brain-computer interface (BCI) that combines motor imagery
(MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair …
(MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair …
Multilevel humanlike motion planning for mobile robots in complex indoor environments
In this paper, a multilevel humanlike motion planning approach is proposed for indoor
mobile robots. Compared with existing approaches, the novelty of this paper is twofold: 1) …
mobile robots. Compared with existing approaches, the novelty of this paper is twofold: 1) …
BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces
There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly
available datasets are usually limited by small number of participants with few BCI sessions …
available datasets are usually limited by small number of participants with few BCI sessions …
A hybrid brain-computer interface for closed-loop position control of a robot arm
Brain-Computer interfacing (BCI) has currently added a new dimension in assistive robotics.
Existing brain-computer interfaces designed for position control applications suffer from two …
Existing brain-computer interfaces designed for position control applications suffer from two …
Development of a human–robot hybrid intelligent system based on brain teleoperation and deep learning SLAM
To achieve the better navigation performance of a mobile robot in the unknown
environments, a novel human-robot hybrid system incorporating a motor-imagery (MI)-based …
environments, a novel human-robot hybrid system incorporating a motor-imagery (MI)-based …
Hybrid navigation method for multiple robots facing dynamic obstacles
K Zhao, L Ning - Tsinghua Science and Technology, 2022 - ieeexplore.ieee.org
With the continuous development of robotics and artificial intelligence, robots are being
increasingly used in various applications. For traditional navigation algorithms, such as …
increasingly used in various applications. For traditional navigation algorithms, such as …