The effect of gamified robot-enhanced training on motor performance in chronic stroke survivors

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Human motor skill acquisition is improved by performance feedback, and coupling such feedback with extrinsic reward (such as money) can enhance skill learning. However, the neurophysiology underlying such behavioral effect is unclear. To bridge this gap, w ...

Compared with traditional in-pipe robots, tensegrity robots have exhibited many advantages such as light-weight, compliant, collapsible, low-cost, and rapidly manufacturable characteristics. However, published tensegrity in-pipe robots still have limited l ...

Industrial robots have been programmed to optimize mass production by executing predefined trajectories with their high speed, precision, and repeatability over long production cycles. However, the rise of Industry 4.0 and the increasing demand for diverse ...

Implementing virtual fixtures in guiding tasks constrains the movement of the robot's end effector to specific curves within its workspace. However, incorporating guiding frameworks may encounter discontinuities when optimizing the reference target positio ...

All functions we use in our everyday life depend on a complex interplay between both cortical and subcortical brain areas, communicating in between each others. When a region is affected by either an accident, aging or neurodegenerative diseases, the whole ...

Robotics and neuroscience are sister disciplines that both aim to understand how agile, efficient, and robust locomotion can be achieved in autonomous agents. Robotics has already benefitted from neuromechanical principles discovered by investigating anima ...

The study of non-contact manipulation in water, and the ability to robotically control floating objects has gained recent attention due to wide-ranging potential applications, including the analysis of plastic pollution in the oceans and the optimization o ...

To make social robots effective in education, they need to be autonomous both in terms of assessing the student's engagement state as well as intervening effectively in soft real-time when necessary. Hidden Markov Model (HMM) is an interpretable machine le ...

Ultrasound can non-invasively detect muscle deformations, which has great potential applications in prosthetic hand control. This research developed a miniaturized ultrasound device that could be integrated into a prosthetic hand socket. This compact syste ...

From surgery to watchmaking, fine-manipulation skills highly rely on the dexterity afforded by both hands. Coordination is key to human dexterity. Specifically, humans need not only to govern the abundant intrinsic degrees of freedom (DOFs) to allocate con ...

Despite recent progresses in robotic rehabilitation technologies, their efficacy for post-stroke motor recovery is still limited. Such limitations might stem from the insufficient enhancement of plasticity mechanisms, crucial for functional recovery. Here, ...

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication to resolve the conflict. What should a robot be programmed to do when such conflicts arise in Human-Robot Interaction? ...

This letter presents closed-loop position control of a pneumatically actuated modular robotic platform "pneumagami" that can be stacked to enlarge work and design space for wearable applications. The module is a 3 degrees of freedom (DoF) parallel robot wi ...

The dielectric elastomer actuator (DEA) is a technology known to potentially provide high energy density (0.3 - 0.4 J.cm(-3)). However, in the literature, few demonstrations have been done to evaluate this figure. To well understand the ability of this tec ...

All human actions involve motor control. Even the simplest movement requires the coordinated recruitment of many muscles, orchestrated by neuronal circuits in the brain and the spinal cord. As a consequence, lesions affecting the central nervous system, su ...

Propulsion of swimming robots at the surface and underwater is largely dominated by rotary propellers due to high thrust, but at the cost of low efficiency. Due to their inherently high speed turning motion, sharp propeller blades and generated noise, they ...

The amygdala is a brain area critical for the formation of fear memories. However, the nature of the teaching signal(s) that drive plasticity in the amygdala are still under debate. Here, we use optogenetic methods to investigate the contribution of ventra ...

We present a new framework to generate humanlike lower-limb trajectories in periodic and non-periodic walking. In our method, walking dynamics is encoded in 3LP, a linear simplified model composed of three pendulums to simulate falling, swing, and torso ba ...

This paper presents a system that aims to achieve autonomous grasping for micro-controller based humanoid robots such as the Inmoov robot [1]. The system consists of a visual sensor, a central controller and a manipulator. We modify the open sourced object ...

The effect of gamified robot-enhanced training on motor performance in chronic stroke survivors

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Effect of Extrinsic Reward on Motor Plasticity during Skill Learning

SUTBot: A Soft Umbrella-like Tensegrity Robot with Elastic Struts for In-pipe Locomotion

An augmented reality-based wearable system for handheld-free and intuitive robot programming

A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures

Noninvasive deep brain stimulation to modulate human behavior by means of transcranial temporal interference electrical stimulation

The neuromechanics of animal locomotion: From biology to robotics and back

Non-contact robotic manipulation of floating objects: exploiting emergent limit cycles

An HMM-based Real-time Intervention Methodology for a Social Robot Supporting Learning

Wearable Ultrasound Interface for Prosthetic Hand Manipulation

Enhancing our understanding of human fine manipulation skills and advancing robot dexterity in grasping

Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery

Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts

Closed-Loop Position Control of a Self-Sensing 3-DoF Origami Module With Pneumatic Actuators

Redefining Energy Density for an uniaxial Dielectric Elastomer Actuator

Central and peripheral mechanisms: a multimodal approach to understanding and restoring human motor control

Design and development of the efficient anguilliform swimming robot- MAR

A VTA to Basal Amygdala Dopamine Projection Contributes to Signal Salient Somatosensory Events during Fear Learning

Scalable closed-form trajectories for periodic and non-periodic human-like walking

Object Grasping of Humanoid Robot Based on YOLO

Guest editorial: Special issue on distributed robotics - from fundamentals to applications