Enhanced robotic hand–eye coordination inspired from human-like behavioral patterns
Robotic hand-eye coordination is recognized as an important skill to deal with complex real
environments. Conventional robotic hand-eye coordination methods merely transfer …
environments. Conventional robotic hand-eye coordination methods merely transfer …
Vision-guided fine-operation of robot and its application in eight-puzzle game
H Wei, XX Chen, XY Miao - … Journal of Intelligent Robotics and Applications, 2021 - Springer
Industrial robots can perform delicate operations, and they have good stability and durability.
However, robots adapt with difficulty to changes in tasks and environments, and they …
However, robots adapt with difficulty to changes in tasks and environments, and they …
Learning robot control using a hierarchical som-based encoding
Hierarchical representations and modeling of sensorimotor observations is a fundamental
approach for the development of scalable robot control strategies. Previously, we introduced …
approach for the development of scalable robot control strategies. Previously, we introduced …
Unsupervised temporospatial neural architecture for sensorimotor map learning
CP Ezenkwu, A Starkey - IEEE Transactions on Cognitive and …, 2019 - ieeexplore.ieee.org
The ability to learn the sensorimotor maps of unknown environments without supervision is a
vital capability of any autonomous agent, be it biological or artificial. An accurate …
vital capability of any autonomous agent, be it biological or artificial. An accurate …
Learning Robot Control using a Hierarchical SOM-based Encoding
Hierarchical representations and modeling of sensorimotor observations is a fundamental
approach for the development of scalable robot control strategies. Previously, we introduced …
approach for the development of scalable robot control strategies. Previously, we introduced …