Looking at a more holistic approach is something that would be important in developing an autonomous flight system. I’ve thought if by back to my undergraduate degree/internships and reflected on how I use to only look at one specific component and develop it from there. However, when it comes to developing an autonomous they rely on advanced sensor fusion to collect data from diverse inputs such as LiDAR, radar, and GPS, which must be processed in real-time to generate precise situational awareness. The software architecture must prioritize fault tolerance, with redundancies in data processing and control systems to prevent failures. On the hardware side, efficient power management would enable an aircraft to either conserve power in situations when a flight path needs correction or an unexpected emergency landing happens.

I started a Youtube channel this summer and started to be consistent in posting videos and making content. I created 3 long form videos and 10 short form videos weekly. I did that for the entire summer, I had 25 long videos but I saw no progress from the first one. Until I asked two of my acquittances that have a bigger following and know about content on Youtube to give me feedback on my channel. They ripped me a new one😭. There was a huge list of things to improve. I felt overwhelmed looking at the list but I tried to improve all the things they mentioned for my next video. The new video became my most viewed video . It received 91 views, which is 84 more than my average of 7 views per video. This is why feedback is very important.

I have taking on the challenge to improve my communication skills in order to convey my point across to people I converse with. I have tried implementing change my speed of speech while talking, emphasizing an importance on the information.

Elon Musk, now tasked with reducing federal spending as part of the incoming Trump administration, criticized the F-35 fighter jet program, calling it inefficient and outdated. Musk argued that manned fighter jets like the F-35 are becoming obsolete in the era of drones, which he sees as a more cost-effective and safer alternative. He highlighted design flaws in the F-35, which he claimed resulted from trying to meet too many requirements, making it overly complex and expensive. This made me think about some of the complexities faced when developing an autonomous system. One complexity that I want to highlight is standardization. Integrating autonomous flight systems into existing aviation infrastructure is challenging because current air traffic management systems are designed for human-piloted aircraft. Autonomous systems must be compatible with these systems, requiring standardized communication protocols, data formats, and coordinated responses. Ensuring seamless interaction between autonomous systems and traditional infrastructure while maintaining safety and efficiency adds a complexity to implementation.

The development of autonomous flight systems holds potential to enhance air travel. I believe by leveraging artificial intelligence , machine learning, and sensor fusion, autonomous systems can reduce human error, a leading cause of aviation accidents. These systems are capable of making real-time decisions, adapting to dynamic conditions, and continuously learning from past experiences, ultimately enhancing situational awareness and response times. In addition to improved safety, autonomous flight systems promise greater operational efficiency and cost-effectiveness. Initial steps, such as transitioning to single-pilot operations supported by automated systems, could reduce crew requirements while maintaining high safety standards. Over time, fully autonomous systems could optimize flight routes, minimize delays, and reduce fuel consumption through data-driven decision-making. It’s important to note that I talk about fuel consumption. This is a great example of how autonomous flight systems can have draw backs. At first you might think that why not just plan ahead of time in order to have the allowable fuel for a flight route rather than running the risk of consuming additional fuel when changing flight paths due to unpredictable weather instantaneously. I thought about this and my take on it is to reduce fuel consumption during unforeseen weather changes, AI algorithms can analyze and prioritize energy-saving maneuvers. For instance, the system could select routes with favorable wind patterns or implement glide-efficient techniques when descending. This area still needs to be looked on but this a good introduction example in how AI can counter act this.