News Release

Can robotics help us achieve sustainable development?

Peer-Reviewed Publication

University of Leeds

An international team of scientists, led by the University of Leeds, have assessed how robotics and autonomous systems might facilitate or impede the delivery of the UN Sustainable Development Goals (SDGs).

Their findings identify key opportunities and key threats that need to be considered while developing, deploying and governing robotics and autonomous systems’.

The key opportunities robotics and autonomous systems present are through autonomous task completion, supporting human activities, fostering innovation, enhancing remote access and improving monitoring.

Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions, and reducing freedom and privacy through inadequate governance.

Technological advancements have already profoundly altered how economies operate and how people, society and environments inter-relate. Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management.

However, the associated potential positive and negative effects caused by their involvement in the SDGs had not been considered systematically. Now, international researchers conducted a horizon scan to evaluate the impact this cutting-edge technology could have on SDGs delivery. It involved more than 102 experts from around the world, including 44 experts from low- and middle-income countries.

The report is published in Nature Communications.

Lead author Dr Solène Guenat began the research while at the Sustainability Research Institute at Leeds. She is now at the Institute for Landscape Planning and Ecology of the University of Stuttgart. The research was conducted as part of Leeds’ Self Repairing Cities project. This project, concluded in 2021, aimed to enable robots and autonomous systems to maintain urban infrastructure without causing disruption to citizens.

Dr Guenat said: “Robotics and autonomous systems are here to stay and will fundamentally transform how we interact with one another, technology and the environment.

“This transformation offers many potential benefits for sustainable development. However, realising those benefits while minimising unintended consequences is a complex challenge. Early identification of possible negative impacts along with early collaboration and continued dialogue across stakeholders will help us seize opportunities while avoiding pitfalls.”

Horizon scanning

Horizon scans have been used to study a wide range of topics, including bioengineering, medicine and biodiversity conservation. They are increasingly used by private and public organisations worldwide to inform decision-making.

For this horizon scan, the researchers recruited 102 experts in either robotics and autonomous systems and/or the SDGs to participate in online surveys, group discussions and workshops to identify positive and negative impacts robotics could have on delivering the SDGs. The team then evaluated and synthesised the expert responses to determine the key opportunities and threats.

Key opportunities

  • Replacing human activities: Robotics and autonomous systems will take over manual tasks deemed too dangerous, repetitive, or for which labour cannot be found
  • Supporting human activities: Assistive autonomous robotics will work hands-in-hands with humans to facilitate human activities in the work-, private and public-environment
  • Fostering innovation: Technological advances in robotics and autonomous systems will speed up research and development while improving collaborations
  • Enhancing access: Autonomous transport systems, including drones, will facilitate access to remote and/or dangerous areas, ease distance communication, improve supply chains, and transform current modes of transport
  • Monitoring for decision making: Automatic data collection will be used widely with speed and accuracy, and will influence decision-making

Key threats

  • Reinforcing inequalities: Autonomous systems will be unaffordable for most countries and governments, shunned by some due to negative perceptions, and decrease the need for low-skilled labour, thus reinforcing gender and global inequalities
  • Negative environmental impact: Robotics and autonomous systems will have wide-ranging impact on the environment through the use of resources needed for their production, the pollution created by their use and disposal, the landscape simplification they will require, and the disturbance of ecosystems they will provoke
  • Resource diversion from tried-and tested solutions: Robotics and autonomous systems will require large amounts of financial resources to be implemented   widely and competition for resources will put other proof-tested measures at risk, especially where goals address socio-political issues
  • Inadequate governance: A robust and regulatory framework around robotics and autonomous systems use and ownership of the data they collect will not be developed in time, leading to ethical issues and increasing the risk of reinforcing inequalities and negative environmental impact

Despite identifying emerging threats, participants indicated that the impact of robotics and autonomous systems on progress towards the SDGs was likely to be overwhelmingly positive. No SDG was determined to be predominately negatively impacted by robotics and autonomous systems. 

However, the future overall impact of robotics and autonomous systems on achieving the SDGs was acknowledged to be hard to predict, especially for goals dealing with inequalities.

Study co-author Professor Martin Dallimer from the School of Earth and Environment at Leeds and the Sustainability Research Institute said: “There are already promising ways to mitigate some of the identified threats robotics and autonomous systems could present.

“For example with issues regarding inequalities, there is a clear need to empower more women and those from diverse backgrounds to engage with robotics development.  

“This, along with greater engagement by engineers with sustainable development professionals would ensure that robotics and autonomous systems are developed and deployed while respecting the needs of multiple different groups.

“Indeed, appropriate mitigation measures to counter the potential negative impacts of robotics and autonomous systems would, by their very nature, contribute to achieving Sustainable Development Goals.”

Planning for the future

The paper highlights warnings that as of early 2020, insufficient progress was being made towards meeting the SDGs by 2030. The coronavirus pandemic has also stalled some previous progress, for example by pushing an extra 124 million people into poverty and exacerbating health inequalities.

Mobilising digital technology could significantly help facilitate the achievement of the SDGs. Yet the opportunities and threats posed by robotics and autonomous systems are so far not integrated into any other global initiatives, strategies or social goal setting. 

The study authors suggest this is likely in part due to the relatively slow pace of regulation and goal setting when compared to robotics development, leaving the door open to poor regulation or non-binding guidelines.

Study co-author Professor Phil Purnell from the School of Civil Engineering at Leeds and Principal Investigator on the Self Repairing Cities projects said: “Regulatory processes developed in parallel with emerging new technologies are needed to ensure appropriate robotics and autonomous systems.

“Although the full impact of robotics and autonomous systems across the Sustainable Development Goals are hard to predict, inclusion of robotics in future iterations of the goals will be essential to avoid detrimental and unintended consequences while realising the opportunities they offer.”

Further information:

The Self Repairing Cities project was funded as part of Engineering and Physical Sciences Research Council’s Grand Challenge” programme.

The paper ‘Meeting Sustainable Development Goals via Robotics and Autonomous Systems’ is published in Nature Communications (DOI: 10.1038/s41467-022-31150-5) 

Full list of authors: Solène Guenat, Phil Purnell, Zoe G. Davies, Maximilian Nawrath1, Lindsay C. Stringer, G.R. Babu, Muniyandi Balasubramanian, Erica E.F. Ballantyne, Bhuvana Kolar Bylappa, Bei Chen, Peta De Jager, Andrea Del Prete, Alessandro Di Nuovo, Cyril O. Ehi-Eromosele, Mehran Eskandari Torbaghan, Karl L. Evans, Markus Fraundorfer, Wissem Haouas, Josephat Izunobi, Juan Carlos Jauregui-Correa, Bilal Y. Kaddouh, Sonia Lewycka, Ana C. MacIntosh, Christine Mady, Carsten Maple, Worku N. Mhiret, Rozhen Kamal Mohammed-Amin, Olukunle Charles Olawole, Temilola Oluseyi, Caroline Orfila, Alessandro Ossola, Marion Pfeifer, Tony Pridmore, Moti L. Rijal, Christine C. Rega-Brodsky, Ian D. Robertson, Christopher D.F. Rogers, Charles Rougé, Maryam B. Rumaney, Mmabaledi K. Seeletso, Mohammed Z. Shaqura, L. M. Suresh, Martin N. Sweeting, Nick Taylor Buck, M.U. Ukwuru, Thomas Verbeek, Hinrich Voss, Zia Wadud, Xinjun Wang, Neil Winn, Martin Dallimer

For additional information, contact University of Leeds at pressoffice@leeds.ac.uk

University of Leeds 

The University of Leeds is one of the largest higher education institutions in the UK, with more than 39,000 students from more than 137 different countries. We are renowned globally for the quality of our teaching and research. 

We are a values-driven university, and we harness our expertise in research and education to help shape a better future for humanity, working through collaboration to tackle inequalities, achieve societal impact and drive change.  

The University is a member of the Russell Group of research-intensive universities, and plays a significant role in the Turing, Rosalind Franklin and Royce Institutes. www.leeds.ac.uk  

Follow University of Leeds or tag us in to coverage: Twitter Facebook LinkedIn Instagram 


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.