The term Tactile Internet broadly refers to a communication network that is capable of
delivering real-time control, touch, and sensing/actuation information through sufficiently …

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 …

Interaction between a robot and its environment requires perception about the environment,
which helps the robot in making a clear decision about the object type and its location. After …

Handling machines are increasingly being used in all sectors of the industry. Knowledge of
the theory of transport and handling machines are basic prerequisites for their further …

To fulfill path tracking tasks with the end-effector posture controlled in a complex
environment, maintaining the robot manipulator end-effector posture and avoiding obstacles …

The behavior of multicamera interference in 3D images (eg, depth maps), which is based on
infrared (IR) light, is not well understood. In 3D images, when multicamera interference is …

Known attempts to build autonomous robots rely on complex control architectures, usually
implemented with the Robot Operating System (ROS). Runtime adaptation is needed in …

Robotic picking of diverse range of novel objects is a great challenge in dense clutter, in
which objects are stacked together tightly. However, collecting large-scale dataset with …

During the peak period of urban traffic, about one-third of vehicles are looking for parking
spaces, resulting in air and noise pollution, and even traffic accidents due to emotional …

In the work, a software model based on the graph-based SLAM methodology is developed
using the LIDAR technology, which allows direct and automatic control of the mobile robot in …