Strategy and Future Prospects to Develop Room-Temperature-Recoverable NO2 Gas Sensor Based on Two-Dimensional Molybdenum Disulfide
Abstract Nitrogen dioxide (NO 2), a hazardous gas with acidic nature, is continuously being
liberated in the atmosphere due to human activity. The NO 2 sensors based on traditional …
liberated in the atmosphere due to human activity. The NO 2 sensors based on traditional …
Survey on unmanned aerial vehicle networks: A cyber physical system perspective
Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …
to their agility and versatility, which have attracted significant attentions from both the …
Neural-fly enables rapid learning for agile flight in strong winds
Executing safe and precise flight maneuvers in dynamic high-speed winds is important for
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight
Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in
terms of perception, planning, learning, and control. A versatile and standardized platform is …
terms of perception, planning, learning, and control. A versatile and standardized platform is …
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Develo** and testing algorithms for autonomous vehicles in real world is an expensive
and time consuming process. Also, in order to utilize recent advances in machine …
and time consuming process. Also, in order to utilize recent advances in machine …
Optimized flocking of autonomous drones in confined environments
We address a fundamental issue of collective motion of aerial robots: how to ensure that
large flocks of autonomous drones seamlessly navigate in confined spaces. The numerous …
large flocks of autonomous drones seamlessly navigate in confined spaces. The numerous …
Ultimate SLAM? Combining events, images, and IMU for robust visual SLAM in HDR and high-speed scenarios
Event cameras are bioinspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. These cameras do not suffer from motion blur and have …
instead of standard intensity frames. These cameras do not suffer from motion blur and have …
Autonomous UAVs for structural health monitoring using deep learning and an ultrasonic beacon system with geo‐tagging
Visual inspection has traditionally been used for structural health monitoring. However,
assessments conducted by trained inspectors or using contact sensors on structures for …
assessments conducted by trained inspectors or using contact sensors on structures for …
PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms
We present a novel, deeply embedded robotics middleware and programming environment.
It uses a multithreaded, publish-subscribe design pattern and provides a Unix-like software …
It uses a multithreaded, publish-subscribe design pattern and provides a Unix-like software …
Autonomous drone racing: A survey
Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …