"This is one more incident that could have brought down an airliner, and it's completely unacceptable," she said in a statement. Operators also must keep their drones away from other aircraft and groups of people. The FAA has received at least 42 reports of drones flying unsafely near LAX, the nation's second-busiest airport, since April 2014, according to a Los Angeles Times analysis last fall of federal data released by Feinstein. The data shows nearly 200 pilot reports of close encounters involving drones in California alone during the past two years, the most of any state, according to the Times. In a 2014 letter to the FAA, Feinstein cited three instances in which drones flew dangerously close to passenger planes near major airports -- two on the same day in May of that year at New York City's LaGuardia Airport and LAX, and another at John F. Kennedy International Airport in New York in March 2013.

Battery technology has been accused of falling behind technology, with everything from phones to drones hit by it. Now a new fuel cell could change the way we charge and let you talk, text and WhatsApp for a week on a single charge - and keep drones airborne for an hour. The tiny solid oxide fuel cell is just 1.95 millimeters in diameter that combines porous stainless steel and a thin-film electrolyte and electrodes, and has shown'enhanced thermal robustness'. From irrigating crops to disaster relief to delivering pizza, the capabilities of drones are growing but small battery capacity limits flight time to less than an hour. Researchers developed a new technology that combines porous stainless steel, which is thermally and mechanically strong and highly stable to oxidation/reduction reactions, with thin-film electrolyte and electrodes of minimal heat capacity.

A highly secretive Pentagon organization is experimenting with'micro-drones' which could one day take to the sky like a like a swarm of robotic locusts. The experiments led by the Strategic Capabilities Office were conducted in Alaska last summer, according to The Washington Post, during which the tiny drones were launched from fighter jets. After launch, the 3-D printed micro-drones break free of a canister and seek each other out to create a swarm. The micro-drones have inch-wide propellers, and can be launched from the flare dispensers of F-16 and F/A-18 fighter jets. After launch, they descend in a parachute-equipped canister and then break free.

In addition, the engineers sealed its most sensitive components inside a dry pressure compartment. They also painted its exposed parts with commercially available coatings that can protect them against the corrosive properties of saltwater. Both measures seem to have worked well during their experiments: the drone the researchers kept in sea water for two months showed no signs of damage. CRACUNS doesn't have any metal parts that can rust and malfunction in the water -- best of all, it's lightweight and doesn't cost much. Those factors make it a good candidate for big research or military operations.

This paper and use of autonomous weapons systems has been will discuss the moral and ethical questions that arise in the one of the outcomes of the counterterrorism and counterinsurgency use of lethally autonomous technology for military purposes operations in Iraq and Afghanistan. The asymmetrical and how the forms of subjectivity and moral agency that battlefields of these theaters, where no frontline it creates could be highly counterproductive to mission provides a buffer between combatants and civilians and effectiveness, diplomacy and conflict resolution and prevention.

It is nowadays our responsibility to convince our contemporary citizens that AI devices as UGVs (Unmanned Ground Vehicles) and UAVs (Unmanned Aerial Vehicles) are crucial actors of today’s life in a dual domains, both civilian and military. In particular, the decision process is the main component of every military operation and is of high interest because of two main reasons : it is necessary designed to cope with conflict issues and it requires a very complex planning process to be successful. The difficulty to find a good plan is worse in urban areas because of the high uncertainty due to the topology of these areas, the presence of civilians, who can be hostile or friendly, and the unpredictable nature of enemies. The idea in that paper is to qualify what can be a valid computed plan in that context , i.e. welldesigned for recovering of peace, rescue operations after a bombing event, hostage salvage, non-combatant evacuation operations, civil-military co-operation, ...., in urban areas. This planning process leads to associate actually four components, the representation of the tactical scheme, the implementation of the tactical scheme as the behaviour of special forces, military units or emergency squads, the proof process or the explanation process, and finally the handling of external factors depending on the current environment or the current context in which the operation takes place. This paper uses a quaternary representation called the epistemological quadriptych, in order to highlight that the integration of UGVs or UAVs devices requires actually to understand the role of knowledge and behaviour and to provide secure and valid action plans, i.e. which can be explained and justified.

This paper presents an exploratory study where participants piloted a commercial UAS (unmanned aerial system) through an obstacle course. The goal was to determine how varying the instructions given to participants affected their performance. Preliminary data suggests future studies to perform, as well as guidelines for human-robot interaction, and some best practices for learning from demonstration studies.

We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in this setting. To elucidate the resulting interactional issues, we compare manual and mixed-initiative task allocation in both static and dynamic environments in lab studies with 40 participants and observe that our mixed-initiative system results in lower workloads and better performance in re-planning tasks than one which only involves manual task allocation. Our analysis points to new insights into the way humans appropriate flexible autonomy.

Cooperative pathfinding is a multi-agent path planning problem where a group of vehicles searches for a corresponding set of non-conflicting space-time trajectories. Many of the practical methods for centralized solving of cooperative pathfinding problems are based on the prioritized planning strategy. However, in some domains (e.g., multi-robot teams of unmanned aerial vehicles, autonomous underwater vehicles, or unmanned ground vehicles) a decentralized approach may be more desirable than a centralized one due to communication limitations imposed by the domain and/or privacy concerns. In this paper we present an asynchronous decentralized variant of prioritized planning ADPP and its interruptible version IADPP. The algorithm exploits the inherent parallelism of distributed systems and allows for a speed up of the computation process. Unlike the synchronized planning approaches, the algorithm allows an agent to react to updates about other agents' paths immediately and invoke its local spatio-temporal path planner to find the best trajectory, as response to the other agents' choices. We provide a proof of correctness of the algorithms and experimentally evaluate them on synthetic domains.

We present a methodology for the deployment of the max-sum algorithm, a well known decentralised algorithm for coordinating autonomous agents, for problems related to situational awareness. In these settings, unmanned autonomous vehicles are deployed to collect information about an unknown environment. Our methodology then helps identify the choices that need to be made to apply the algorithm to these problems. Next, we present a case study where the methodology is used to develop a system for disaster management in which a team of unmanned aerial vehicles coordinate to provide the first responders of the area of a disaster with live aerial imagery. To evaluate this system, we deploy it on two unmanned hexacopters in a variety of scenarios. Our tests show that the system performs well when confronted with the dynamism and the heterogeneity of the real world.