Objective learning from human demonstrations
Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …
are interested in inferring human intentions and objectives from observed actions. The …
Exploiting kinematic redundancy for robotic grasping of multiple objects
Humans coordinate the abundant degrees of freedom (DoFs) of hands to dexterously
perform tasks in everyday life. We imitate human strategies to advance the dexterity of multi …
perform tasks in everyday life. We imitate human strategies to advance the dexterity of multi …
Modeling and simulation of robotic grasping in simulink through simscape multibody
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all
when performed with multifingered robotic hands. Having simulation tools to design and test …
when performed with multifingered robotic hands. Having simulation tools to design and test …
Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task
In this study, we introduce a novel maze task designed to investigate naturalistic motor
learning in bimanual coordination. We developed and validated an extended set of …
learning in bimanual coordination. We developed and validated an extended set of …
Highlights from the 30th Annual Meeting of the Society for the Neural Control of Movement
M Russo, N Ozeri-Engelhard… - Journal of …, 2021 - journals.physiology.org
The 30th meeting of the Society for the Neural Control of Movement (NCM) was originally
scheduled to take place in Dubrovnik, Croatia, in April of 2020. Due to the COVID-19 …
scheduled to take place in Dubrovnik, Croatia, in April of 2020. Due to the COVID-19 …
Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation
Grasping and manipulating various kinds of objects cooperatively is the core skill of a dual-
arm robot when deployed as an autonomous agent in a human-centered environment. This …
arm robot when deployed as an autonomous agent in a human-centered environment. This …
Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks
K Vandevoorde, L Vollenkemper, C Schwan… - Sensors, 2022 - mdpi.com
Humans learn movements naturally, but it takes a lot of time and training to achieve expert
performance in motor skills. In this review, we show how modern technologies can support …
performance in motor skills. In this review, we show how modern technologies can support …
Quantitative measurement of upper limb motion pre-and post-treatment with Botulinum Toxin
Background Muscle spasticity is a common motor complication after stroke and brain injury,
and Botulinum Toxin is considered effective treatment for upper limb spasticity. However …
and Botulinum Toxin is considered effective treatment for upper limb spasticity. However …
Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback
Introduction This study investigates the multifaceted nature of motor learning in a complex
bimanual task by examining the interplay between mental representation structures …
bimanual task by examining the interplay between mental representation structures …
[PDF][PDF] 面向复杂力交互任务的操作技能传递与控制研究
赵杰， 武睿， 张赫， 朱延河， 臧希喆 - 机械工程学报, 2022 - qikan.cmes.org
如何让机器人拥有像人一样强大的感知能力并执行复杂操作, 尤其是带有力交互的复杂操作是
机器人学界一直探索的问题. 这个问题的解决, 能够帮助机器人实现从“设备” 向“助手” 的转化 …
机器人学界一直探索的问题. 这个问题的解决, 能够帮助机器人实现从“设备” 向“助手” 的转化 …