In this paper, we introduce a fault-tolerant multi-agent reinforcement learning framework
called SERT-DQN to optimize the operations of UAVs with UGV central control in coverage …

Driving energy consumption plays a major role in the navigation of mobile robots in
challenging environments, especially if they are left to operate unattended under limited on …

This paper presents an adaptive energy-aware prediction and planning framework for
vehicles navigating over terrains with varying and unknown properties. A novel feature of the …

Driving energy consumption plays a major role in the navigation of autonomous mobile
robots in off-road scenarios. However, real-time constraints often limit the accuracy of the …

The maintenance of wireless sensor networks involves challenges such as the periodic
replacement of batteries or energy sources in remote locations that are often inaccessible …

Driving energy consumption plays an important role in the navigation of autonomous mobile
robots in off-road scenarios. However, the accuracy of the driving energy predictions is often …

AUTONOMOUS mobile robots (AMRs) are well-suited to explore challenging off-road
environments. From mining, search and rescue activities, nuclear plants' inspections …

Following the technical demonstration of the Mars Helicopter on the Mars 2020 mission,
interest in further exploration of Mars utilizing rotorcraft is expected to increase. Previously …

Contemporary scientific exploration most often takes place in highly remote and dangerous
environments, such as in the deep sea and on other planets. These environments are very …

For a long time, scientists and engineers have been figuring out ways to incorporate carbon
nanotubes in composites. As a result CNTs are being tested in various industries as light …