Sensorimotor training in virtual reality: a review

SV Adamovich, GG Fluet, E Tunik… - …, 2009 - content.iospress.com
Recent experimental evidence suggests that rapid advancement of virtualreality (VR)
technologies has great potential for the development of novelstrategies for sensorimotor …

Velocity-curvature patterns limit human–robot physical interaction

P Maurice, ME Huber, N Hogan… - IEEE robotics and …, 2017 - ieeexplore.ieee.org
Physical human-robot collaboration is becoming more common, both in industrial and
service robotics. Cooperative execution of a task requires intuitive and efficient interaction …

Promoting motor variability during robotic assistance enhances motor learning of dynamic tasks

Ö Özen, KA Buetler, L Marchal-Crespo - Frontiers in neuroscience, 2021 - frontiersin.org
Despite recent advances in robot-assisted training, the benefits of haptic guidance on motor
(re) learning are still limited. While haptic guidance may increase task performance during …

A novel clinical-driven design for robotic hand rehabilitation: combining sensory training, effortless setup, and large range of motion in a palmar device

R Rätz, F Conti, RM Müri… - Frontiers in neurorobotics, 2021 - frontiersin.org
Neurorehabilitation research suggests that not only high training intensity, but also
somatosensory information plays a fundamental role in the recovery of stroke patients. Yet …

Preparing to move: Setting initial conditions to simplify interactions with complex objects

R Nayeem, S Bazzi, M Sadeghi, N Hogan… - PLOS Computational …, 2021 - journals.plos.org
Humans dexterously interact with a variety of objects, including those with complex internal
dynamics. Even in the simple action of carrying a cup of coffee, the hand not only applies a …

Predictability and robustness in the manipulation of dynamically complex objects

D Sternad, CJ Hasson - Progress in Motor Control: Theories and …, 2016 - Springer
Manipulation of complex objects and tools is a hallmark of many activities of daily living, but
how the human neuromotor control system interacts with such objects is not well …

Predictability, force, and (anti) resonance in complex object control

P Maurice, N Hogan, D Sternad - Journal of …, 2018 - journals.physiology.org
Manipulation of complex objects as in tool use is ubiquitous and has given humans an
evolutionary advantage. This study examined the strategies humans choose when …

A “virtually minimal” visuo-haptic training of attention in severe traumatic brain injury

AY Dvorkin, M Ramaiya, EB Larson, FS Zollman… - … of neuroengineering and …, 2013 - Springer
Background Although common during the early stages of recovery from severe traumatic
brain injury (TBI), attention deficits have been scarcely investigated. Encouraging evidence …

Progressive haptic and visual guidance for training in a virtual dynamic task

JC Huegel, MK O'Malley - 2010 IEEE Haptics Symposium, 2010 - ieeexplore.ieee.org
This paper presents the design and implementation of a novel progressive haptic guidance
scheme and a similar visual guidance scheme for acquisition of a dynamic motor skill. The …

Negative efficacy of fixed gain error reducing shared control for training in virtual environments

Y Li, V Patoglu, MK O'Malley - ACM Transactions on Applied Perception …, 2009 - dl.acm.org
Virtual reality with haptic feedback provides a safe and versatile practice medium for many
manual control tasks. Haptic guidance has been shown to improve performance of manual …