Lab Humanoid Robots (MA-INF 4214)

Humanoid robots are currently an active research platform. Since they have a human-like body plan they can act in environments designed for humans. Humanoid robots are able to, e.g., climb stairs, walk through cluttered environments, and open doors.

In this block course after the lecture period, the students will implement algorithms for perception, state estimation, environment representation, navigation, and motion planning techniques for humanoid robots. The students will work in small groups.

 

Contact:

 

Important dates:

The introductory meeting for all interested participants will take place on April 16. In the introductory meeting, we will present the topics, schedule, and requirements, and answer questions.

Preliminary schedule (subject to change):

Monday, 16 April 2018, 10:00 c.t. Introductory meeting (room 0.011, Endenicher Allee 19A)
Friday, 20 April 2018, noon Deadline for selecting the topic (online, link by email)
Monday, 30 April 2018 Registration deadline in BASIS
Monday, 3 September 2018 Lab presentation and deadline for lab documentation

After the first lab meeting, the participants can arrange their working schedule individually after consultation with their supervisor.

 

Registration

The registration is closed. The lab will be offered again next semester.

 

Topics:

You can choose one of the following topics:

 

Follow the Path:nao_follow_the_line_small.JPG
In this project, the robot's task is to follow a path marked on the floor. The robot should evade obstacles and be able to bridge short gaps in the path. The path is marked by a yarn. Obstacle and yarn detection should be implemented using a Convolutional Neural Network.

Focus: image processing and computer vision, navigation
Programming language: Python (C++ possible as an alternative)

 

 

Toy Detection:lab_pic_1.jpg
The goal of this project is to detect a specific toy among a small group of given toys based on user input. The detection should be done using a Convolutional Neural Network and augmented training data. Once the toy is detected the robot should move to it, grab it and return it to the user. 

Focus: image processing and computer vision
Programming language: Python

 

 

Soccer:soccer_pic.jpeg
We place a red ball on a soccer field in front of a goal consisting of two yellow goal posts. The robot has to detect the goal and the ball with its built-in camera, walk to the ball in the right angle, and kick the ball into the goal.

Focus: image analysis and computer vision, motion planning, navigation
Programming language: C++

 

Roll the Dice:roll_the_dice_pic.jpeg
The goal of this project is to create a dice game that a Nao robot can play against a human, for example "21" (blackjack with dice), "Snakes and Ladders", "Mensch ärgere dich nicht", or a similar game. The robot has to roll a large foam dice, read the points on the dice, play the game according to the rules, and interact with the human opponent.

Focus: image analysis and computer vision, navigation, human-robot interaction
Programming language: C++