Perception and interpretation of the terrain is essential for robot navigation, particularly in off-
road areas, where terrain characteristics can be highly variable. When planning a path …

Accurate classification and identification of the detected terrain is the basis for the long-
distance patrol mission of the planetary rover. But terrain measurement based on vision and …

Background Developers spend more time fixing bugs refactoring the code to increase the
maintainability than develo** new features. Researchers investigated the code quality …

Learning representations from unlabeled time series data is a challenging problem. Most
existing self-supervised and unsupervised approaches in the time-series domain fall short in …

We present a visual and inertial-based terrain classification network (VINet) for robotic
navigation over different traversable surfaces. We use a novel navigation-based labeling …

This paper introduces a system of data collection acceleration and real-to-sim transferring
for surface recognition on a quadruped robot. The system features a mechanical single-leg …

With technological advancements and scientific progress, mobile robots have found
widespread applications across various fields. To enable robots to perform tasks safely and …

This paper introduces DogSurf-a newapproach of using quadruped robots to help visually
impaired people navigate in real world. The presented method allows the quadruped robot …

A disaster robot is used for crucial rescue, observation, and exploration missions. In the case
of implementing disaster robots in bad environmental situations, the robot must be equipped …

The use of reinforcement learning for efficient robot programming has proven significant
potential in research. Particularly in combination with advanced simulations, even complex …