Volume 1 Issue 1 (2025)

The robotic systems become more integrated into various aspects of life, including healthcare, criminal justice, labour, and autonomous vehicles, the issue of bias in these systems has emerged as a critical concern. The bias in the decisions taken by robots may enhance social disparities, enhance discrimination, and afflict vulnerable groups. This article addresses the biased properties and origin of robotic systems, including biased data, faulty system algorithms, and prejudice of the designers and developers in the course of the system. It also notes the grave social, ethical and legal impacts that discriminatory machines in specific areas may have, specifically in high-stakes areas. The article also proposes an array of remedies to curb the bias, such as a better data collection process, just algorithms, ethical design, and regulatory tools. Nevertheless, the article underlines the technical, economic, political, and societal issues that prevent the creation of really fair robotic systems. By stating the necessity of inter-disciplinary cooperation, the involvement of the public and the global regulatory systems, it confirms that, potentially, the robots developed will not only be efficient but also fair and just.

To the best of our knowledge, there is no comprehensive review on the environment and sustainability of biorobotics concerning the application of Life Cycle Analysis (LCA) to the life cycle and environmental impacts of biorobotic systems. This article has therefore reviewed and discussed the environmental impact and sustainability of bio-robotics applications. Sustainable issues in biorobotics, the combination of biological and mechanical, and electronic subsystems, create special opportunities and problems. The concept of LCA leverages an opportunity to evaluate the entire life cycle of a biorobot that includes the minerals extraction and manufacturing process, coupled with its operation, with end-of-life (EOL) disposal. Major considerations of the review entail the use of sustainable materials, energy consumption in the production process, and energy consumption and efficiency of the operation phase, as well as EOL management. A particular concern is paid to the intricacies of biological systems, data scarcity, and the necessity to use standardised LCA frameworks that would be specific to biorobots. In addition, the article reviews the future trends, such as data modelling, material development, and the strategy of a circular economy that can be implemented to enhance the sustainability of biorobots. The results provide support to the suggestion that LCA should be used in developing the biorobots in an approachable manner that is compatible with the sustainability objectives and reduces the amount of their environmental burden.

The rapid development of bio robotics, a field combining biological systems with robotic technology, presents significant opportunities across industries such as healthcare, agriculture, and environmental monitoring. Nonetheless, combining biological and robotic components poses numerous regulatory, ethical, and social issues. The paper discusses the major policy/governance issues in the regulation of sustainable bio robotics and the issues in making the governance framework adaptive and flexible to be able to adapt to changing technology. It emphasizes the need for cooperation among governments, the industry, and ethical consultancy organizations in order to put in place a broad base of stipulations of safety, sustainability and ethical principles. The paper also explains why it is important to apply the concept of sustainability towards the design of bio robotics and how international collaboration would enable the formation of a global standard. Within the ethical, social and environmental ramifications presented in the article are proposed regulatory models where innovation is promoted, yet the public and environmental welfare is maintained. This study recommends dramatic action to be taken to establish inclusive, responsible and visionary governance structures with the ability to make bio robotics heading to sustainable development in the long run.

The increasing global waste crisis and the growing demand for effective recycling solutions have prompted the adoption of robotic systems in waste management. The use of robotics has revolutionized the process of automation in the sorting of waste, recovery of materials and waste transportation. Robots are becoming more efficient and eliminating or reducing human workers in unsafe areas, due to the employment of advanced artificial intelligence (AI), machine vision, and automation that are being used to increase sorting precision. The current paper addresses the interest of robotics in waste management and recycling processes, analysing how this field is represented in robotic arms, autonomous mobile robots (AMRs), and drones that sort, collect, and clear up the environmental messes. The paper also speaks about the advantages of robotics in waste management, which are higher rates of recycling, enhanced security, reduced costs, and the disadvantages of high initial costs, technological restraints and the possibility of labour replacement. To demonstrate practical examples, the success stories of waste management robots, like Zen Robotics Recycler, AMP Robotics, as well as the Ocean Cleanup project, are considered through the lens of case studies. The future of waste management is dependent on further establishment and implementation of the use of robotic systems and is based on the assumption that it can offer a sustainable, efficient and environmentally-friendly waste management venture.

Swarm robotics, inspired by collective behaviour in nature, offers significant potential to transform precision farming by enhancing efficiency, scalability, and sustainability. This paper details the use of swarm robotics in the agrarian field, pointing to the capacity of the technology to automate the complicated aspects of agriculture, including crop tracking, precise farming, destruction of vermin and harvesting. Through decentralised control and local communication between robots, swarm systems can complete tasks in a cooperative manner, which increases yield, cuts labour costs and wastage of resources. Although it has its benefits, mass utilisation of swarm robotics in farming has its obstacles, such as technological shortcomings, high start-up costs, and interfacing with conventional farming, as well as social effects, namely possible employment reduction. This article is about these challenges and the potential of swarm robotics to solve some of the main challenges in agriculture, to give a way forward in terms of future research and development, so that the potential of this new kind of technology can be exploited to the full.