Robots and particularly drones are especially useful in exploring extreme environments that pose hazards to humans. To ensure safe operations these situations, usually perceptually degraded without good GNSS, it is critical have a reliable robust state estimation solution. The main body of literature robot focuses on developing complex algorithms favoring accuracy. Typically, approaches rely st...

Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of perception and planning systems, but on how well these systems are coupled. When traversing rough terrain, this coupling (in the form of a cost function) has a large impact on robot performance, necessitating a robust ...

with the continuous development of the industrialization process, the countries all over the world gradually appeared lack of agricultural labor force and aging phenomenon, which was especially prominent in developed countries. however the agricultural robot with high operating efficiency, high qualities of work will play an increasingly important role in future agricultural production. robot n...

Autonomous navigation has become an increasingly popular machine learning application. Recent advances in deep learning have also brought huge improvements to autonomous navigation. However, prior outdoor autonomous navigation methods depended on various expensive sensors or expensive and sometimes erroneously labeled real data. In this paper, we propose an autonomous navigation method that doe...

This paper deals with a nonlinear feedback control method based on Lie derivatives for the navigation guidance of unmanned aerial vehicles (UAVs). The paper proposes a modelling concept for planar and three-dimensional navigation together with proven algorithms to cope with the autonomous navigation along waypoints and on loiters. The steps that were performed in order to validate the autonomou...

In support of research efforts to develop reactive mobile robots capable of autonomous navigation, we are concentrating on providing human reasoning capabilities as a resource for intelligence and integrating the world mapping and navigation tasks. The underlying philosophy is that an autonomous mobile robot should be able to make a map of its environment as it navigates through that environmen...

Robots need autonomous navigation to complete their tasks efficiently. This becomes more challenging in GPS-denied environments where positioning information is not available. For small flying robots and quadrotors, inherent limitations such as limited sensor payload and small system time-constant add another layer of challenge to the problem. This paper presents a solution for autonomous navig...

This paper considers the problem of a robot navigating in a crowded or congested environment. A robot operating in such an environment can get easily blocked by moving humans and other objects. To deal with this problem it is proposed to attempt to predict the motion trajectory of humans and obstacles. Two kinds of prediction are considered: short-term and long-term. The short-term prediction r...