The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …

For bilateral teleoperation, the haptic feedback demands the availability of accurate force
information transmitted from the remote site. Nevertheless, due to the limitation of the size …

As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

Purpose This paper aims on the trajectory tracking of the developed six wheel-legged robot
with heavy load conditions under uncertain physical interaction. The accuracy of trajectory …

This paper proposes a neural approximation based model predictive control approach for
tracking control of a nonholonomic wheel-legged robot in complex environments, which …

Hand gesture recognition has been applied to many research fields and has shown its
prominent advantages in increasing the practicality of Human-Robot Interaction (HRI). The …

This paper focuses on the problem of extracting the physical dynamic parameters which are
fundamental for computing the positive-definite link mass matrix. To solve this problem, a …

Electronic skin for robotic tactile sensing has been studied extensively over the past years,
yet practical applications of electronic skin for the grasping state monitoring during robotic …

Dynamic parameters are crucial in designing robotics systems because they reflect an
actual robot. Conventional identification methods require that the robot execute the optimal …