Autonomous underwater vehicles should possess intelligent control software that performs intellectual functions such as cognition, decision and action, which originally belong to the ability of domain expert, since the unmanned underwater robot is required to navigate in hazardous environments where humans do not have direct access to. In this paper, we suggest an intelligent system architectur...

Small radio controlled (R/C) rotary-wing UAVs have many potential military and civilian applications, but can be very difficult to fly. Small and lightweight sensors and computers can be used to implement a control system to make these vehicles easier to fly. To develop a control system for a small UAV, an 8-bit microcontroller has been interfaced with MEMS (Micro-Electro-Mechanical Systems) gy...

The problem treated in this research work is as follows: there are N mobile robots (unmanned ground vehicles) which pursue a moving target. The vehicles emanate from random positions in their motion plane. Each vehicle can be equipped with various sensors, such as odometric sensors, cameras and non-imaging sensors such as sonar, radar and thermal signature sensors. These vehicles can be conside...

We present the design and implementation of a realtime, vision-based landing algorithm for an autonomous helicopter. The helicopter is required to navigate from an initial position to a final position in a partially known environment based on GPS and vision, locate a landing target (a helipad of a known shape) and land on it. We use vision for precise target detection and recognition. The helic...

While deep reinforcement learning (RL) methods have achieved unprecedented successes in a range of challenging problems, their applicability has been mainly limited to simulation or game domains due to the high sample complexity of the trial-and-error learning process. However, real-world robotic applications often need a data-efficient learning process with safety-critical constraints. In this...

It is widely recognized that simulation is pivotal to vehicle development, whether manned or unmanned. There are few dedicated choices, however, for those wishing to perform realistic, end-to-end simulations of unmanned ground vehicles (UGVs). The Virtual Autonomous Navigation Environment (VANE), under development by US Army Engineer Research and Development Center (ERDC), provides such capabil...

An excellent navigation, guidance, and control (NGC) system had a high impact on trajectory tracking the following scenarios. Both scenarios will include heading, tangent, velocity parameters in computation. However, design problem is not new issue unmanned surface vehicle (USV) autonomous ground vehivle (AGV) due to this constraint faced by many researchers since early these autonomy developme...

Detecting mud hazards is a significant challenge to UGV autonomous off-road navigation. A military UGV stuck in a mud body during a mission may need to be sacrificed or rescued, both unattractive options. JPL is currently developing a daytime mud detection capability under the RCTA program using UGV mounted sensors. To perform robust mud detection under all conditions, we expect multiple sensor...

Inventory management applications using unmanned aerial vehicles (UAVs) appear to have the highest potential for use in warehouse operations. They remove need manual inspection, which is most cases performed heights ladder, pen and paper. Moreover, it provides a competitive edge field of logistics while decreasing costs improving stock efficiency. Deployment autonomous UAVs an indoor environmen...