Ongoing Thesis

Sim-to-Real Gap in Liquid Pouring

Keywords:
sim-to-real

Description

We want to investigate what are the simulation bottlenecks in order to learn the pouring task. How we can tackle this problem. This project is more paper reading and the field of research is skill refinement and domain adaptation. In addition, we will try to implement one of the states of the art methods of teaching by demonstration in order to adapt the simulation skill to the real-world scenario.

Prerequisites

Creativity

Motivation

Strong C++ Background

Strong Phyton Background

Contact

edwin.babaians@tum.de

Supervisor:

Edwin Babaians

"Pouring Liquids" dataset development

Keywords:
Nvidia Flex, Unity3D, Nvidia Physics 4.0
Short Description:
Using Unity3D and Nvidia Flex plugin, develop a learning environment and model different fluids for teaching pouring tasks to robots.

Description

The student will develop different liquid characteristics using Nvidia Flex, will add different containers and particle collision checking system. In addition, a ground truth system to later use for robot teaching.

 

Reference:

https://developer.nvidia.com/flex

https://developer.nvidia.com/physx-sdk%20

Prerequisites

Strong Unity3D background

Familiar with Nvidia Physics and Nvidia Flex libraries. 

 

Contact

edwin.babaians@tum.de

Supervisor:

Edwin Babaians

Model based Collision Identification for Real-Time Jaco2 Robot Manipulation 

Keywords:
ROS, Haptics, Teleoperation, Jaco2

Description

By the advancement of robotics and communication networks such as 5G, telemedicine has become a critical application for remote diagnosis and treatment.

In this project, we want to perform robotic teleoperation using a Sigma 7 haptic master and a Jaco 2 robotic manipulator.

 Tasks:

  • State of the art review and mathematical modeling
  • Jaco2 haptic controller implementation
  • Fault-tolerant (delay, network disconnect) controller design 
  • System evaluation with external force-torque sensor

Prerequisites

  • Strong background in C++ programming
  • Solid background in control theory 
  • Be familiar with robot dynamics and kinematics 
  • Be familiar with the robot operating system (ROS) and ROS Control (Optional)

Contact

edwin.babaians@tum.de

Supervisor:

Edwin Babaians