Inspired by infant development theories, a robotic developmental model combined with
game elements is proposed in this paper. This model does not require the definition of …

In robotics community, inspiration from human development theory offers a promising way
for robots to efficiently achieve many abilities. Humanoid robot reaching, as an essential …

Purpose This paper aims to introduce an imitation learning framework for a wheeled mobile
manipulator based on dynamical movement primitives (DMPs). A novel mobile manipulator …

Inspired by infant development, we propose a three staged developmental framework for an
anthropomorphic robot manipulator. In the first stage, the robot is initialized with a basic …

Simulating biological intelligence has been proved to be an effective way to design
intelligent robots, and simultaneously can solve the problems existing in machine learning …

The field of autonomous robotics has made significant progress with the advent of learning
methods that have been successfully applied in robotics and have achieved tremendous …

Abstract Purpose of Review The ability to autonomously manipulate the physical world is the
key capability needed to fulfill the potential of cognitive robots. Humanoid robots, which offer …

Bio-inspired tendon-driven manipulators have the potential to achieve human-level
dexterity. However, their control is more complex than prevailing robotic hands because the …

This paper presents an autonomous grasping approach for complex-shaped objects using
an anthropomorphic robotic hand. Although human-like robotic hands have a number of …

This paper mainly deals with robot developmental learning on drawing and discusses the
influences of physical embodiment to the task. Humans are said to develop their drawing …