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Open Thesis
Ongoing Thesis
Closing the sim-to-real gap using haptic teleoperation
Liquid Pouring , Skill Refinment, Sim-to-Real gap
Beschreibung
Simulation is a good way of investigating the possibility of a complex behavior implementation for service robots. Since we can not consider all the characteristics of the real work scenario there would be the sim-to-real adaptation step in order to fine-tune the current learned skill from simulations. In this project, the scenario will be the liquid pouring tasks which we already learned in a simulation environment. We will tackle the sim-to-real adaptation problem using haptic communication in order to demonstrate and skill for extra time and the robot will use the expert user knowledge in order to fine-tune the current learned skill from the simulation.
Voraussetzungen
Be familiar with skill refinement techniques.
Be familiar with haptic teleoperation
Strong background in c++
String background in python
Kontakt
edwin.babaians@tum.de
Betreuer:
Sim-to-Real Gap in Liquid Pouring
sim-to-real
Beschreibung
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.
Voraussetzungen
Creativity
Motivation
Strong C++ Background
Strong Phyton Background
Kontakt
edwin.babaians@tum.de
Betreuer:
"Pouring Liquids" dataset development
Nvidia Flex, Unity3D, Nvidia Physics 4.0
Using Unity3D and Nvidia Flex plugin, develop a learning environment and model different fluids for teaching pouring tasks to robots.
Beschreibung
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
Voraussetzungen
Strong Unity3D background
Familiar with Nvidia Physics and Nvidia Flex libraries.
Kontakt
edwin.babaians@tum.de
Betreuer:
Model based Collision Identification for Real-Time Jaco2 Robot Manipulation
ROS, Haptics, Teleoperation, Jaco2
Beschreibung
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
Voraussetzungen
- 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)
Kontakt
edwin.babaians@tum.de