![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Sensory integration for neuroprostheses: from functional benefits to neural correlates
In the field of sensory neuroprostheses, one ultimate goal is for individuals to perceive artificial somatosensory information and use the prosthesis with high complexity that resembles an intact system. To th...
-
Article
Open AccessUpper limb intention tremor assessment: opportunities and challenges in wearable technology
Tremors are involuntary rhythmic movements commonly present in neurological diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention tremor is a subtype associated with lesions...
-
Article
Open AccessBrain computer interface to distinguish between self and other related errors in human agent collaboration
When a human and machine collaborate on a shared task, ambiguous events might occur that could be perceived as an error by the human partner. In such events, spontaneous error-related potentials (ErrPs) are ev...
-
Article
Open AccessNeuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials
Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic...
-
Article
Open AccessDistinct spatio-temporal and spectral brain patterns for different thermal stimuli perception
Understanding the human brain’s perception of different thermal sensations has sparked the interest of many neuroscientists. The identification of distinct brain patterns when processing thermal stimuli has se...
-
Article
Perception and Evaluation in Human–Robot Interaction: The Human–Robot Interaction Evaluation Scale (HRIES)—A Multicomponent Approach of Anthropomorphism
The evaluation of how (human) individuals perceive robots is a central issue to better understand human–robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not ...
-
Article
Focusing on the face or getting distracted by social signals? The effect of distracting gestures on attentional focus in natural interaction
Attentional orienting towards others’ gaze direction or pointing has been well investigated in laboratory conditions. However, less is known about the operation of attentional mechanisms in online naturalistic...
-
Article
Open AccessEO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning
For spatiotemporal learning with neural networks, hyperparameters are often set manually by a human expert. This is especially the case with multiple timescale networks that require a careful setting of the va...
-
Article
Open AccessDecoding of Pain Perception using EEG Signals for a Real-Time Reflex System in Prostheses: A Case Study
In recent times, we have witnessed a push towards restoring sensory perception to upper-limb amputees, which includes the whole spectrum from gentle touch to noxious stimuli. These are essential components for...
-
Article
Attention-based active visual search for mobile robots
We present an active visual search model for finding objects in unknown environments. The proposed algorithm guides the robot towards the sought object using the relevant stimuli provided by the visual sensors...
-
Article
A Semantic-Based Method for Teaching Industrial Robots New Tasks
This paper presents the results of the Artificial Intelligence (AI) method developed during the European project “Factory-in-a-day”. Advanced AI solutions, as the one proposed, allow a natural Human–Robot-coll...
-
Article
A Feasibility Study for Validating Robot Actions Using EEG-Based Error-Related Potentials
Validating human–robot interaction can be a challenging task, especially in cases in which the robot designer is interested in the assessment of individual robot actions within an ongoing interaction that shou...
-
Article
Tactile-based active object discrimination and target object search in an unknown workspace
The tasks of exploring unknown workspaces and recognizing objects based on their physical properties are challenging for autonomous robots. In this paper, we present strategies solely based on tactile informat...
-
Article
Open AccessLong-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients
Brain-machine interfaces (BMIs) provide a new assistive strategy aimed at restoring mobility in severely paralyzed patients. Yet, no study in animals or in human subjects has indicated that long-term BMI train...
-
Article
Humans are Well Tuned to Detecting Agents Among Non-agents: Examining the Sensitivity of Human Perception to Behavioral Characteristics of Intentional Systems
For efficient social interactions, humans have developed means to predict and understand others’ behavior often with reference to intentions and desires. To infer others’ intentions, however, one must assume t...
-
Article
A neuron-inspired computational architecture for spatiotemporal visual processing
In this article, we present a neurologically motivated computational architecture for visual information processing. The computational architecture’s focus lies in multiple strategies: hierarchical processing,...
-
Article
Multi-layered multi-pattern CPG for adaptive locomotion of humanoid robots
In this paper, we present an extended mathematical model of the central pattern generator (CPG) in the spinal cord. The proposed CPG model is used as the underlying low-level controller of a humanoid robot to ...
-
Article
Effects of 3D Shape and Texture on Gender Identification for a Retro-Projected Face Screen
Retro-projected face displays have recently appeared as an alternative to mechanical robot faces, and stand apart by virtue of their flexibility: they are able to present a variety of faces varying in both rea...
-
Article
Supervised Autonomy: A Framework for Human-Robot Systems Development
In this paper we present a paradigm for robot control, Supervised Autonomy. Supervised Autonomy is a framework, which facilitates the development of human robot systems. The components which this framework embrac...