Dexterous Robot Manipulation using Physics Engine (Internship) King Abdullah University of Science and Technology (KAUST)

Overview

With the advance in sensing, actuation, and mechanical design, the robots are becoming more capable of performing complex and high-precision tasks ranging from autonomous driving in urban cities to handling packages in fulfillment centers. 

Key Facts

Control and planning of robot motion in real-world environments require high-fidelity models to simulate how the robot's motion impacts physical objects before they take action. Many well-established approaches in robotics rely on mathematical models due to their analytic tractability; however as robotic systems become complex and are required to interact in physical environments, we face limitations in finding analytically tractable models and begin to resort to new models that leverage the powerful computational resources embodied in robotic systems.

As key applications, they imagine to apply outcomes of the Dexterous Robot Manipulation using Physics Engine (Internship) project from King Abdullah University of Science and Technology (KAUST) to enable robotic manipulators to carry out the tasks in assembly lines and research laboratories that are labor-intensive and require dexterous skills.