Titlebook: Interactive Collaborative Robotics; Second International Andrey Ronzhin,Gerhard Rigoll,Roman Meshcheryakov Conference proceedings 2017 Spri

泄露

Real-Time Removing of Outliers and Noise in 3D Point Clouds Applied in Robotic Applications, processing techniques; namely navigation, object recognition and segmentation. In our experiments, we investigate real scenarios where the robot moves while it acquires the point cloud in natural light environment, so that unpleasant noise and outliers become apparent.

flammable

Empowerment as a Generic Utility Function for Agents in a Simple Team Sport Simulation,ment to propose the concept of . as an intrinsic, generic utility function for cooperating agents. We show that agents motivated by team empowerment exhibit recognizable team behaviors in a simple team sports simulation based on Ultimate Frisbee.

Estimable

Improving Dependability of Reconfigurable Robotic Control System,n to the software components of the system. The paper contains a new simplified model of the configuration forming problem, the dependability improvement approach and simulation results being discussed briefly.

收養(yǎng)

Stationary Device for Drone Detection in Urban Areas,s used in the proposed system in order to create an easily modifiable system. The performance of the proposed approach is tested in a couple of experiments. The system is able to distinguish a drone from e.g. a car or a walking person and it is able to work in real time.

PANEL

Applying MAPP Algorithm for Cooperative Path Finding in Urban Environments,g trajectories for dozens UAVs performing nap-of-the-earth flight in urban environments. Results of the experimental studies provide an opportunity to claim that MAPP is a highly efficient planner for solving considered types of tasks.

acetylcholine

Emotion Recognition System for Human-Robot Interface: Comparison of Two Approaches,on as a preliminary step to emotion recognition. The second version takes advantage of convolutional neural networks as a classifier. The designed system is capable of working in real time. The algorithms were implemented on C++ and tested on an extensive face expression database as well as in real conditions.

Opponent

Survey of Modular Robots and Developed Embedded Devices for Constructive and Computing Components,ublications of the last ten years has also revealed the prospects of attracting cloud robotics techniques for distributed sensory data collection, management and centralized training using stationary computing resources. The developed embedded devices for sensor data processing and control of servos of modular robots are described.

AND

Facing Face Recognition with ResNet: Round One,method was trained and tested on challenging Casia-WebFace database and the results were benchmarked with a simple convolutional neural network. Our experiments of classification of closed and open subset show the great potential of residual learning for face recognition.

HOWL

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