A novel parsimonious cause-effect reasoning algorithm for robot imitation and plan recognition
Manually programming robots is difficult, impeding more widespread use of robotic systems.
In response, efforts are being made to develop robots that use imitation learning. With such …
In response, efforts are being made to develop robots that use imitation learning. With such …
A cortically-inspired model for inverse kinematics computation of a humanoid finger with mechanically coupled joints
RJ Gentili, H Oh, AV Kregling… - Bioinspiration & …, 2016 - iopscience.iop.org
The human hand's versatility allows for robust and flexible grasping. To obtain such
efficiency, many robotic hands include human biomechanical features such as fingers …
efficiency, many robotic hands include human biomechanical features such as fingers …
A Cognitive Robotic Imitation Learning System Based On Cause-Effect Reasoning
GE Katz - 2017 - search.proquest.com
As autonomous systems become more intelligent and ubiquitous, it is increasingly important
that their behavior can be easily controlled and understood by human end users. Robotic …
that their behavior can be easily controlled and understood by human end users. Robotic …
Neural networks based robot motion improvement
V Valaitis - 2016 - epublications.vu.lt
Abstract [eng] This thesis focuses on nature-based algorithms to solve inverse kinematics
and motion planning tasks of robotic systems and serial manipulators. Motions in nature can …
and motion planning tasks of robotic systems and serial manipulators. Motions in nature can …