Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

We present an automated learning framework for a robotic sketching agent that is capable of
learning stroke-based rendering and motor control simultaneously. We formulate the robotic …

This paper presents a comparative study of different calibration techniques to align the
Pepper Humanoid Robot's depth camera with respect to its RGB camera. Both cameras are …

This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

This paper demonstrates the capability of humanoid robot in the field of sketch drawing.
Sketch drawing is a complex job which requires three basic problems to be solved. The first …

Inverse kinematics plays a significant role in the robotic motion control. The flexible way to
formulate the inverse kinematics can be achieved by using a neural network. The drawback …

How do robots learn to perform motor tasks in a specific condition and apply what they have
learned in a new condition? This paper proposes a framework for motor coordination …

How can robotics benefit from neuroscience to build a unified framework that computes
actions for both locomotion and manipulation tasks? Inspired by the hierarchical neural …

Co-working applications are increasing in robotics due to the need of manipulating high
volume of information in real time. This paper presents a methodology to develop a robot …

Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …