One negative impact: Utilization of these technologies rapidly dehumanizes human societies/leaders/stakeholders/politicians/entrepreneurs/self-interest groups/etc. to garner power and control against each other/s in this postmodern competitive international community.

Zoncita D. Norman

Biological robots and unmanned drones represent cutting-edge advancements in robotics and artificial intelligence, profoundly impacting postmodern world politics. These technologies offer significant scientific, economic, and strategic advantages, yet they also pose ethical and security challenges.

Biological robots, inspired by natural systems, excel in adaptability, energy efficiency, and biomimicry. They can perform complex tasks such as environmental monitoring, medical diagnostics, and targeted drug delivery. Unmanned drones, on the other hand, provide high precision in surveillance, reconnaissance, and remote sensing applications. Their ability to operate in hazardous environments reduces human risk and enhances data collection capabilities.

From an economic perspective, these technologies lower operational costs by minimizing human labor and resources. Drones enable affordable aerial imaging, infrastructure monitoring, and agricultural management, leading to increased productivity. Biological robots, particularly in medicine and agriculture, offer cost-effective solutions for tasks like pest control and ecosystem restoration.

In geopolitics, unmanned drones are instrumental in defense and counterterrorism operations, allowing nations to conduct targeted strikes without direct troop deployment. They enhance border surveillance and disaster response, strengthening national security. Biological robots, with their potential for autonomous actions, could revolutionize espionage and covert operations. However, these technologies also risk escalating conflicts due to their autonomous decision-making capabilities.

Despite their benefits, ethical concerns about privacy invasion, accountability, and misuse persist. Autonomous drones and biological robots may bypass traditional legal frameworks, raising questions about oversight and international regulations. Economically, the displacement of human jobs and the cost of developing and maintaining these technologies present challenges. Biologically-based robots also raise biosafety concerns, particularly regarding genetic engineering and ecological impacts.

Biological robots and unmanned drones are transforming the postmodern political landscape by offering innovative solutions to global challenges. However, their adoption requires balanced governance, ethical guidelines, and continuous assessment to ensure their benefits outweigh the risks.

Dear Doctor

Go To

Framework for Biological Control with Unmanned Aerial Vehicles

• October 2022
• DOI:10.1109/LARS/SBR/WRE56824.2022.9995875
• Conference: 2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)
• Lab: Paulo Roberto Ferreira Jr.'s Lab
• Bruno Siqueira da Silva et al.

[Abstract—Agricultural pests and diseases can cause financial losses on the scale of millions per year and threaten food security. Biological control (BC) is a natural phenomenon to mitigate a particular population of pests, making them less abundant and harmful. The use of Unmanned Aerial Vehicles (UAVs) as a platform to support BC is promising due to the low cost, high efficiency, and wide application range. UAV coverage path planning is necessary to an effective dispersion over an agricultural area. However, in many cases, this planning is carried out empirically by pilots in the field. It is necessary to address several need to be taken into account in the search for automation and optimization of coverage route planning for BC using UAVs, such as: identifying the main characteristics of the coverage area, looking for suitable landing and takeoff points, determining the distance between the parallel line of the coverage trajectory due to the biological agent in use, setting the flight altitude, safely returning to the base, and generating ready-to-fly route coverage files. This article presents a framework and implementation containing a coverage path planning algorithm for automating biological control routes considering essential aspects of a real-world scenario. Actual flights using the framework implementation show the efficiency and reliability of the proposed approach.]