Institute for Artificial Intelligence
Research in Artificial Intelligence for Autonomous Mobile Robots
- 11
- Projects
- 2
- Years accepted
- 6
- In 2018
Projects by year
112018
6 acceptedShow
This project targets at enabling the current RoboSherlock to work in form of parallel pipeline, which also includes merging results of different...
Markov Logic Networks (MLNs) are a generalisation of first-order logic and probabilistic graphical models, thus forming a powerful mechanism of...
Implementation of Deep Learning Annotators written in Python into RoboSherlock
Accepted project · by Shingo Kitagawa
In GSoC, I propose to introduce deep learning annotators in RoboSherlock for more various task. Because many deep learning frameworks and...
My proposed Project consists of developing a GUI with Unreal Engine for Eye Tracking and any adjacent work involving the aforementioned tehnology.
Flexible perception pipeline manipulation for RoboSherlock
Accepted project · by An T. Le
The project proposes flexible pipeline handling mechanism for RoboSherlock framework. The current state of RoboSherlock implementation does not allow...
The RobCoG project is presenting a new perspective on how robots are supposed to learn everyday tasks. Learning from humans essentially playing a...
2017
5 acceptedShow
Multi-modal cluttered scene analysis in knowledge intensive scenarios
Accepted project · by Mykola Dolhyi
The objective of the project is to improve accuracy of objects' descriptions generated by the RoboSherlock package in difficult environments. Glossy...
Realistic Grasping using Unreal Engine Grasping different items in virtual reality can be very tricky, regarding physics and animation. There are...
This project aims to bring a state of the art robotic framework (ROS) into a popular and well known video game engine (UE 4). It consists primarily...
Robot simulators are essential tools for robot design and robotics algorithm development. We are going to build a simulator of PR2 Robot in Unreal...
Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios
Accepted project · by An T. Le
This project implements Object Segmentation approaches based on Symmetry Constraints in knowledge intensive scenarios. The final documentation...