However, transferring capabilities to robotics in the real world is still challenging. A potential solution is to make use of foundation models, which are built by pre-training a large deep learning model on su
伯克利 基于感知运动预训练的机器人学习 Robot Learning with Sensorimotor Pre-training 热度: DENSORobottraining(一) 製作:李濤 HSDI 自動化 一 機械手組成部分介紹 二 機械手基本操作 三 機械手接線及內部接口電路 四I/O 信號介紹 五 外部控制操作時序 ...
Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing,and it can learn the skills to keep itself balance through interacting with the environment.doi:CNKI:SUN:TRAN.0.2017-02-004张晓平...
61] we demonstrated thatmastery of sensorimotor contingencies endows a robot with the capabilities todistinguish sensory cues caused externally by other agents or a change in the environment from the ones caused by the robot own motor actions. This capability is...
Barber and Salichs consider a structure for the implementation of perceptive and sensorimotor skills in an autonomous mobile robot. This structure permits complex skills creation from the fusion, sequencing or data flows of available simple skills. Also, they present areinforcement learning algorithmwhich...
All participants showed evidence of proprioceptive-motor learning. Mean position sense discrimination threshold improved by 34%. Wrist movement accuracy in the untrained pointing task improved by 27% in 13/14 participants. This demonstrates that a short sensorimotor training challenging proprioception can ...
The second aspect beyond the when, is the what of learning. What could be ideally, what could be practically, and what should be learnt, instead of pre-coded, when it comes to human–robot communication? For example, when it comes to natural-language communication, multiple layers exist: th...
We seek to understand the underlying principles of robust sensorimotor coordination by implementing them on robots. This is the place for our Open Source code. - Stanford Interactive Perception and Robot Learning Lab
(high-level learning) without the need of pre-programming. Additionally, the robot learns every path as needed for object manipulation (low-level learning). Once the robot has the knowledge of the demonstrated task, it can perform the task in collaboration with the human. However, the need ...
This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke patients before