journal
MENU ▼
Read by QxMD icon Read
search

Frontiers in Neurorobotics

journal
https://www.readbyqxmd.com/read/28919855/an-improved-recurrent-neural-network-for-complex-valued-systems-of-linear-equation-and-its-application-to-robotic-motion-tracking
#1
Lei Ding, Lin Xiao, Bolin Liao, Rongbo Lu, Hua Peng
To obtain the online solution of complex-valued systems of linear equation in complex domain with higher precision and higher convergence rate, a new neural network based on Zhang neural network (ZNN) is investigated in this paper. First, this new neural network for complex-valued systems of linear equation in complex domain is proposed and theoretically proved to be convergent within finite time. Then, the illustrative results show that the new neural network model has the higher precision and the higher convergence rate, as compared with the gradient neural network (GNN) model and the ZNN model...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28900394/navigation-and-self-semantic-location-of-drones-in-indoor-environments-by-combining-the-visual-bug-algorithm-and-entropy-based-vision
#2
Darío Maravall, Javier de Lope, Juan P Fuentes
We introduce a hybrid algorithm for the self-semantic location and autonomous navigation of robots using entropy-based vision and visual topological maps. In visual topological maps the visual landmarks are considered as leave points for guiding the robot to reach a target point (robot homing) in indoor environments. These visual landmarks are defined from images of relevant objects or characteristic scenes in the environment. The entropy of an image is directly related to the presence of a unique object or the presence of several different objects inside it: the lower the entropy the higher the probability of containing a single object inside it and, conversely, the higher the entropy the higher the probability of containing several objects inside it...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28900393/postural-hand-synergies-during-environmental-constraint-exploitation
#3
Cosimo Della Santina, Matteo Bianchi, Giuseppe Averta, Simone Ciotti, Visar Arapi, Simone Fani, Edoardo Battaglia, Manuel Giuseppe Catalano, Marco Santello, Antonio Bicchi
Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28883790/impedance-control-for-robotic-rehabilitation-a-robust-markovian-approach
#4
Andres L Jutinico, Jonathan C Jaimes, Felix M Escalante, Juan C Perez-Ibarra, Marco H Terra, Adriano A G Siqueira
The human-robot interaction has played an important role in rehabilitation robotics and impedance control has been used in the regulation of interaction forces between the robot actuator and human limbs. Series elastic actuators (SEAs) have been an efficient solution in the design of this kind of robotic application. Standard implementations of impedance control with SEAs require an internal force control loop for guaranteeing the desired impedance output. However, nonlinearities and uncertainties hamper such a guarantee of an accurate force level in this human-robot interaction...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28878646/continuous-timescale-long-short-term-memory-neural-network-for-human-intent-understanding
#5
Zhibin Yu, Dennis S Moirangthem, Minho Lee
Understanding of human intention by observing a series of human actions has been a challenging task. In order to do so, we need to analyze longer sequences of human actions related with intentions and extract the context from the dynamic features. The multiple timescales recurrent neural network (MTRNN) model, which is believed to be a kind of solution, is a useful tool for recording and regenerating a continuous signal for dynamic tasks. However, the conventional MTRNN suffers from the vanishing gradient problem which renders it impossible to be used for longer sequence understanding...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28878645/adaptive-control-strategies-for-interlimb-coordination-in-legged-robots-a-review
#6
REVIEW
Shinya Aoi, Poramate Manoonpong, Yuichi Ambe, Fumitoshi Matsuno, Florentin Wörgötter
Walking animals produce adaptive interlimb coordination during locomotion in accordance with their situation. Interlimb coordination is generated through the dynamic interactions of the neural system, the musculoskeletal system, and the environment, although the underlying mechanisms remain unclear. Recently, investigations of the adaptation mechanisms of living beings have attracted attention, and bio-inspired control systems based on neurophysiological findings regarding sensorimotor interactions are being developed for legged robots...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28860986/classification-of-movement-and-inhibition-using-a-hybrid-bci
#7
Jennifer Chmura, Joshua Rosing, Steven Collazos, Shikha J Goodwin
Brain-computer interfaces (BCIs) are an emerging technology that are capable of turning brain electrical activity into commands for an external device. Motor imagery (MI)-when a person imagines a motion without executing it-is widely employed in BCI devices for motor control because of the endogenous origin of its neural control mechanisms, and the similarity in brain activation to actual movements. Challenges with translating a MI-BCI into a practical device used outside laboratories include the extensive training required, often due to poor user engagement and visual feedback response delays; poor user flexibility/freedom to time the execution/inhibition of their movements, and to control the movement type (right arm vs...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28855869/global-positioning-system-based-stimulation-for-robo-pigeons-in-open-space
#8
Junqing Yang, Ruituo Huai, Hui Wang, Wenyuan Li, Zhigong Wang, Meie Sui, Xuecheng Su
An evaluation method is described that will enable researchers to study fight control characteristics of robo-pigeons in fully open space. It is not limited by the experimental environment and overcomes environmental interference with flight control in small experimental spaces using a compact system. The system consists of two components: a global positioning system (GPS)-based stimulator with dimensions of 38 mm × 26 mm × 8 mm and a weight of 18 g that can easily be carried by a pigeon as a backpack and a PC-based program developed in Virtual C++...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28848419/a-functional-subnetwork-approach-to-designing-synthetic-nervous-systems-that-control-legged-robot-locomotion
#9
Nicholas S Szczecinski, Alexander J Hunt, Roger D Quinn
A dynamical model of an animal's nervous system, or synthetic nervous system (SNS), is a potentially transformational control method. Due to increasingly detailed data on the connectivity and dynamics of both mammalian and insect nervous systems, controlling a legged robot with an SNS is largely a problem of parameter tuning. Our approach to this problem is to design functional subnetworks that perform specific operations, and then assemble them into larger models of the nervous system. In this paper, we present networks that perform addition, subtraction, multiplication, division, differentiation, and integration of incoming signals...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28804454/an-evaluation-of-the-design-and-usability-of-a-novel-robotic-bilateral-arm-rehabilitation-device-for-patients-with-stroke
#10
Yu-Cheng Pei, Jean-Lon Chen, Alice M K Wong, Kevin C Tseng
STUDY DESIGN: Case series. EVIDENCE LEVEL: IV (case series). INTRODUCTION: Robot-assisted therapy for upper limb rehabilitation is an emerging research topic and its design process must integrate engineering, neurological pathophysiology, and clinical needs. PURPOSE OF THE STUDY: This study developed/evaluated the usefulness of a novel rehabilitation device, the MirrorPath, designed for the upper limb rehabilitation of patients with hemiplegic stroke...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28790910/hybrid-brain-computer-interface-techniques-for-improved-classification-accuracy-and-increased-number-of-commands-a-review
#11
REVIEW
Keum-Shik Hong, Muhammad Jawad Khan
In this article, non-invasive hybrid brain-computer interface (hBCI) technologies for improving classification accuracy and increasing the number of commands are reviewed. Hybridization combining more than two modalities is a new trend in brain imaging and prosthesis control. Electroencephalography (EEG), due to its easy use and fast temporal resolution, is most widely utilized in combination with other brain/non-brain signal acquisition modalities, for instance, functional near infrared spectroscopy (fNIRS), electromyography (EMG), electrooculography (EOG), and eye tracker...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28769781/enhancing-classification-performance-of-functional-near-infrared-spectroscopy-brain-computer-interface-using-adaptive-estimation-of-general-linear-model-coefficients
#12
Nauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, Hammad Nazeer, Rayyan Azam Khan, Sajid Saleem
In this paper, a novel methodology for enhanced classification of functional near-infrared spectroscopy (fNIRS) signals utilizable in a two-class [motor imagery (MI) and rest; mental rotation (MR) and rest] brain-computer interface (BCI) is presented. First, fNIRS signals corresponding to MI and MR are acquired from the motor and prefrontal cortex, respectively, afterward, filtered to remove physiological noises. Then, the signals are modeled using the general linear model, the coefficients of which are adaptively estimated using the least squares technique...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28747884/geomagnetic-navigation-of-autonomous-underwater-vehicle-based-on-multi-objective-evolutionary-algorithm
#13
Hong Li, Mingyong Liu, Feihu Zhang
This paper presents a multi-objective evolutionary algorithm of bio-inspired geomagnetic navigation for Autonomous Underwater Vehicle (AUV). Inspired by the biological navigation behavior, the solution was proposed without using a priori information, simply by magnetotaxis searching. However, the existence of the geomagnetic anomalies has significant influence on the geomagnetic navigation system, which often disrupts the distribution of the geomagnetic field. An extreme value region may easily appear in abnormal regions, which makes AUV lost in the navigation phase...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28747883/obstacle-avoidance-and-target-acquisition-for-robot-navigation-using-a-mixed-signal-analog-digital-neuromorphic-processing-system
#14
Moritz B Milde, Hermann Blum, Alexander Dietmüller, Dora Sumislawska, Jörg Conradt, Giacomo Indiveri, Yulia Sandamirskaya
Neuromorphic hardware emulates dynamics of biological neural networks in electronic circuits offering an alternative to the von Neumann computing architecture that is low-power, inherently parallel, and event-driven. This hardware allows to implement neural-network based robotic controllers in an energy-efficient way with low latency, but requires solving the problem of device variability, characteristic for analog electronic circuits. In this work, we interfaced a mixed-signal analog-digital neuromorphic processor ROLLS to a neuromorphic dynamic vision sensor (DVS) mounted on a robotic vehicle and developed an autonomous neuromorphic agent that is able to perform neurally inspired obstacle-avoidance and target acquisition...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28725192/commentary-proceedings-of-the-first-workshop-on-peripheral-machine-interfaces-going-beyond-traditional-surface-electromyography
#15
COMMENT
Philipp Beckerle
No abstract text is available yet for this article.
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28690514/synergistic-effects-on-the-elderly-people-s-motor-control-by-wearable-skin-stretch-device-combined-with-haptic-joystick
#16
Han U Yoon, Namita Anil Kumar, Pilwon Hur
Cutaneous sensory feedback can be used to provide additional sensory cues to a person performing a motor task where vision is a dominant feedback signal. A haptic joystick has been widely used to guide a user by providing force feedback. However, the benefit of providing force feedback is still debatable due to performance dependency on factors such as the user's skill-level, task difficulty. Meanwhile, recent studies have shown the feasibility of improving a motor task performance by providing skin-stretch feedback...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28676752/an-adaptive-neuromuscular-controller-for-assistive-lower-limb-exoskeletons-a-preliminary-study-on-subjects-with-spinal-cord-injury
#17
Amy R Wu, Florin Dzeladini, Tycho J H Brug, Federica Tamburella, Nevio L Tagliamonte, Edwin H F van Asseldonk, Herman van der Kooij, Auke J Ijspeert
Versatility is important for a wearable exoskeleton controller to be responsive to both the user and the environment. These characteristics are especially important for subjects with spinal cord injury (SCI), where active recruitment of their own neuromuscular system could promote motor recovery. Here we demonstrate the capability of a novel, biologically-inspired neuromuscular controller (NMC) which uses dynamical models of lower limb muscles to assist the gait of SCI subjects. Advantages of this controller include robustness, modularity, and adaptability...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28676751/the-role-of-autobiographical-memory-in-the-development-of-a-robot-self
#18
Gregoire Pointeau, Peter Ford Dominey
This article briefly reviews research in cognitive development concerning the nature of the human self. It then reviews research in developmental robotics that has attempted to retrace parts of the developmental trajectory of the self. This should be of interest to developmental psychologists, and researchers in developmental robotics. As a point of departure, one of the most characteristic aspects of human social interaction is cooperation-the process of entering into a joint enterprise to achieve a common goal...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28659784/effects-of-assist-as-needed-upper-extremity-robotic-therapy-after-incomplete-spinal-cord-injury-a-parallel-group-controlled-trial
#19
John Michael Frullo, Jared Elinger, Ali Utku Pehlivan, Kyle Fitle, Kathryn Nedley, Gerard E Francisco, Fabrizio Sergi, Marcia K O'Malley
BACKGROUND: Robotic rehabilitation of the upper limb following neurological injury has been supported through several large clinical studies for individuals with chronic stroke. The application of robotic rehabilitation to the treatment of other neurological injuries is less developed, despite indications that strategies successful for restoration of motor capability following stroke may benefit individuals with incomplete spinal cord injury (SCI) as well. Although recent studies suggest that robot-aided rehabilitation might be beneficial after incomplete SCI, it is still unclear what type of robot-aided intervention contributes to motor recovery...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28649197/a-minimal-model-describing-hexapedal-interlimb-coordination-the-tegotae-based-approach
#20
Dai Owaki, Masashi Goda, Sakiko Miyazawa, Akio Ishiguro
Insects exhibit adaptive and versatile locomotion despite their minimal neural computing. Such locomotor patterns are generated via coordination between leg movements, i.e., an interlimb coordination, which is largely controlled in a distributed manner by neural circuits located in thoracic ganglia. However, the mechanism responsible for the interlimb coordination still remains elusive. Understanding this mechanism will help us to elucidate the fundamental control principle of animals' agile locomotion and to realize robots with legs that are truly adaptive and could not be developed solely by conventional control theories...
2017: Frontiers in Neurorobotics
journal
journal
42055
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"