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By Inês Hipólito/Deborah Pirchner, Frontiers science writer

Inês Hipólito is a highly accomplished researcher, recognized for her work in esteemed journals and contributions as a co-editor. She has received research awards including the prestigious Talent Grant from the University of Amsterdam in 2021. After her PhD, she held positions at the Berlin School of Mind and Brain and Humboldt-Universität zu Berlin. Currently, she is a permanent lecturer of the philosophy of AI at Macquarie University, focusing on cognitive development and the interplay between augmented cognition (AI) and the sociocultural environment.

Inês co-leads a consortium project on ‘Exploring and Designing Urban Density. Neurourbanism as a Novel Approach in Global Health,’ funded by the Berlin University Alliance. She also serves as an ethicist of AI at Verses.

Beyond her research, she co-founded and serves as vice-president of the International Society for the Philosophy of the Sciences of the Mind. Inês is the host of the thought-provoking podcast ‘The PhilospHER’s Way’ and has actively contributed to the Women in Philosophy Committee and the Committee in Diversity and Inclusivity at the Australasian Association of Philosophy from 2017 to 2020.

As part of our Frontier Scientist series, Hipólito caught up with Frontiers to tell us about her career and research.

What inspired you to become a researcher?
Throughout my personal journey, my innate curiosity and passion for understanding our experience of the world have been the driving forces in my life. Interacting with inspiring teachers and mentors during my education further fueled my motivation to explore the possibilities of objective understanding. This led me to pursue a multidisciplinary path in philosophy and neuroscience, embracing the original intent of cognitive science for interdisciplinary collaboration. I believe that by bridging disciplinary gaps, we can gain an understanding of the human mind and its interaction with the world. This integrative approach enables me to contribute to both scientific knowledge and real-world applications benefitting individuals and society as a whole.

Can you tell us about the research you’re currently working on?
My research centers around cognitive development and its implications in the cognitive science of AI. Sociocultural contexts play a pivotal role in shaping cognitive development, ranging from fundamental cognitive processes to more advanced, semantically sophisticated cognitive activities that we acquire and engage with.

As our world becomes increasingly permeated by AI, my research focuses on two main aspects. Firstly, I investigate how smart environments such as online spaces, virtual reality, and digitalized citizenship influence context-dependent cognitive development. By exploring the impact of these environments, I aim to gain insights into how cognition is shaped and adapted within these technologically mediated contexts.

Secondly, I examine how AI design emerges from specific sociocultural settings. Rather than merely reflecting society, AI design embodies societal values and aspirations. I explore the intricate relationship between AI and its sociocultural origins to understand how technology can both shape and be influenced by the context in which it is developed.

In your opinion, why is your research important?
The aim of my work is to contribute to the understanding of the complex relationship between cognition and AI, focusing on the sociocultural dynamics that influence both cognitive development and the design of artificial intelligence systems. I am particularly interested in understanding and the paradoxical nature of AI development and its societal impact: while technology historically improved lives, AI has also brought attention to problematic biases and segregation highlighted in feminist technoscience literature.

As AI progresses, it is crucial to ensure that advancements benefit everyone and do not perpetuate historical inequalities. Inclusivity and equality should be prioritized, challenging dominant narratives that favor certain groups, particularly white males. Recognizing that AI technologies embody our implicit biases and reflect our attitudes towards diversity and our relationship with the natural world enables us to navigate the ethical and societal implications of AI more effectively.

Are there any common misconceptions about this area of research? How would you address them?
The common misconception of viewing the mind as a computer has significant implications for AI design and our understanding of cognition. When cognition is seen as a simple input-output process in the brain, it overlooks the embodied complexities of human experience and the biases embedded in AI design. This reductionist view fails to account for the importance of embodied interaction, cognitive development, mental health, well-being, and societal equity.

This subjective experience of the world cannot be reduced to mere information processing, as it is context-dependent and imbued with meanings partly constructed in societal power dynamics.

Because the environment is ever more AI-permeated, understanding how it is shaped by and shapes the human experience requires investigation beyond the conceiving of cognition as (meaningless) information processes. By recognizing the distributed and embodied nature of cognition, we can ensure that AI technologies are designed and integrated in a way that respects the complexities of human experience, embraces ambiguity, and promotes meaningful and equitable societal interactions.

What are some of the areas of research you’d like to see tackled in the years ahead?
In the years ahead, it is crucial to tackle several AI-related areas to shape a more inclusive and sustainable future:

Design AI to reduce bias and discrimination, ensuring equal opportunities for individuals from diverse backgrounds.

Make AI systems transparent and explainable, enabling people to understand how decisions are made and how to hold them accountable for unintended consequences.

Collaborate with diverse stakeholders to address biases, cultural sensitivities, and challenges faced by marginalized communities in AI development.

Consider the ecological impact, resource consumption, waste generation, and carbon footprint throughout the entire lifecycle of AI technologies.

How has open science benefited the reach and impact of your research?
Scientific knowledge that is publicly funded should be made freely available to align with the principles of open science. Open science emphasizes transparency, collaboration, and accessibility in scientific research and knowledge dissemination. By openly sharing AI-related knowledge, including code, data, and algorithms, we encourage diverse stakeholders to contribute their expertise, identify potential biases, and address ethical concerns within technoscience.

Furthermore, incorporating philosophical reasoning into the development of the philosophy of mind theory can inform ethical deliberation and decision-making in AI design and implementation by researchers and policymakers. This transparent and collaborative approach enables critical assessment and improvement of AI technologies to ensure fairness, diminishing of bias, and overall equity.

• PAPER – Enactive artificial intelligence: subverting gender norms in human-robot interaction. Hipólito, Inês, Katie Winkle, and Merete Lie. Frontiers in Neurorobotics 17 (2023): 1149303.

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This article is republished from Frontiers in Robotics and AI blog. You can read the original article here.

Addressing a fundamental challenge in robotics, Associate Professor Yoshihiro Nakata of The University of Electro-Communications, Japan, and Senior Researcher Tomoyuki Noda from the Brain Information Communication Research Laboratory Group at the Advanced Telecommunications Research Institute International, have developed a pioneering technology to facilitate the integration of hybrid actuation systems. Hybrid actuation, which pairs two actuators operating on different principles to yield superior performance, has been historically difficult to incorporate into robots due to the complexity of its structure.

A South Korean-made robot made its debut as an orchestra conductor before a sell-out crowd in Seoul on Friday, wowing the audience with a flawless performance in place of a human maestro.

In a new study, researchers from Université libre de Bruxelles demonstrate the potential of blockchain technology, known from cryptocurrencies such as Bitcoin and Ethereum, to secure the coordination of robot swarms. In experiments conducted with both real and simulated robots, they show how blockchain technology enables a robot swarm to neutralize harmful robots without human intervention, thus enabling the deployment of autonomous and safe robot swarms. Their work is published in the journal Science Robotics.

Geek+ brings its AMR expertise to premium car manufacturer BMW Brilliance Automotive's vehicle production facility to strengthen digitalization and end-to-end value chain.

Drone technology continues to advance depending on specific applications. For this article, we’ll be looking at compact drones used in a variety of applications that need continuous and autonomous inspection of chimneys, shafts, and tanks.

It is with great sadness that I am sharing that Joanne Pransky, the World’s First Robotic Psychariatrist, and who Isaac Asimov called the real Susan Calvin passed away recently. I had several delight conversations with her, including an interview and moderated panel.

Joanne was a tireless advocate for robotics AND for women in robotics. She didn’t have advanced degrees in robotics but had worked in the robotics industry and then in robot trade journals- she had quite the eye for finding really useful technology versus hype. Her enthusiasm and passion for constantly learning was an inspiration to me and I was privileged to know her as a friend. I interviewed her a few years ago about Asimov which you can see here. She points out how amazing Asimov was- at 19 years old writing about robots and imagining them in a positive way, as helpers, companions, tools to enable us to do more of the “human” stuff- not the shoot-em-up, take over the world Frankenstein monster motif. Joanne was one of the first to really push what is now called human-centered robotics– that there is always a human involved in any robot system.

Since she knew Asimov, she was in a good position to discuss Dr. Susan Calvin- possible the worst stereotype of a woman roboticist ever- no family, no friends, totally obsessed by work. You definitely should hear her discussion- I don’t want to spoil it by trying to paraphrase it. I don’t know if Alec Nevala-Lee, the author of Astounding:John W. Campbell, Isaac Asimov, Robert A. Heinlein, L. Ron Hubbard, and the Golden Age of Science Fiction- a terrific book, you should read it, would agree but it definitely adds a new dimension to understanding- and enjoying- Asimov’s robot stories.

I also moderated the 100 Years of R.U.R. panel with Joanne and Jeremy Brett for the 2021 We Robot conference. Her talk and comments were brilliant. While I had always heard that “robot” came from the Czech word “robota”, she pointed out that “robota” stems from the Greek work “orphanos” which means a change in status (like being orphaned) – where the “o” and “r” are switched in Slavic languages. So the roots in R.U.R. aren’t just drudgery, it is that being a robot is also a lower status. Both words convey exactly what Capek was trying to express about the dehumanization of workers. What an interesting detail!

That sums up Joanne: smart, seeing things that others missed, warm, positive, enthusiastic, engaging, wanting everyone to know more, do more, have a better life through robotics.

Joanne, I miss you.

And if you never met her, please check out her interview:

Stroke is the most important cause of disability for adults in the EU, which affects approximately 1.1 million inhabitants each year. After a stroke, patients commonly need rehabilitation to relearn to walk, talk, or perform daily tasks. Research has shown that besides physical and occupational therapy, music therapy can help stroke patients to recover language and motor function.

Most robotic grippers are made using either soft plastics—to pick up objects without damaging them—that melt at high temperatures, or metals which are stiff and costly. A team of researchers from the National University of Singapore (NUS), together with their collaborators from the Northeast Forest University, have created a wooden robotic gripper that could be used in a very hot environment and yet maintain a tender touch.

Rapid progress in artificial intelligence (AI) has spurred some leading voices in the field to call for a research pause, raise the possibility of AI-driven human extinction, and even ask for government regulation. At the heart of their concern is the idea AI might become so powerful we lose control of it.

By Nina Mahmoudian (Associate Professor of Mechanical Engineering, Purdue University)

Rescuers spotted debris from the tourist submarine Titan on the ocean floor near the wreck of the Titanic on June 22, 2023, indicating that the vessel suffered a catastrophic failure and the five people aboard were killed.

Bringing people to the bottom of the deep ocean is inherently dangerous. At the same time, climate change means collecting data from the world’s oceans is more vital than ever. Purdue University mechanical engineer Nina Mahmoudian explains how researchers reduce the risks and costs associated with deep-sea exploration: Send down subs, but keep people on the surface.

Why is most underwater research conducted with remotely operated and autonomous underwater vehicles?

When we talk about water studies, we’re talking about vast areas. And covering vast areas requires tools that can work for extended periods of time, sometimes months. Having people aboard underwater vehicles, especially for such long periods of time, is expensive and dangerous.

One of the tools researchers use is remotely operated vehicles, or ROVs. Basically, there is a cable between the vehicle and operator that allows the operator to command and move the vehicle, and the vehicle can relay data in real time. ROV technology has progressed a lot to be able to reach deep ocean – up to a depth of 6,000 meters (19,685 feet). It’s also better able to provide the mobility necessary for observing the sea bed and gathering data.

Autonomous underwater vehicles provide another opportunity for underwater exploration. They are usually not tethered to a ship. They are typically programmed ahead of time to do a specific mission. And while they are underwater they usually don’t have constant communication. At some interval, they surface, relay the whole amount of data that they have gathered, change the battery or recharge and receive renewed instructions before again submerging and continuing their mission.

What can remotely operated and autonomous underwater vehicles do that crewed submersibles can’t, and vice versa?

Crewed submersibles will be exciting for the public and those involved and helpful for the increased capabilities humans bring in operating instruments and making decisions, similar to crewed space exploration. However, it will be much more expensive compared with uncrewed explorations because of the required size of the platforms and the need for life-support systems and safety systems. Crewed submersibles today cost tens of thousands of dollars a day to operate.

Use of unmanned systems will provide better opportunities for exploration at less cost and risk in operating over vast areas and in inhospitable locations. Using remotely operated and autonomous underwater vehicles gives operators the opportunity to perform tasks that are dangerous for humans, like observing under ice and detecting underwater mines.

Remotely operated vehicles can operate under Antarctic ice and other dangerous places.

How has the technology for deep ocean research evolved?

The technology has advanced dramatically in recent years due to progress in sensors and computation. There has been great progress in miniaturization of acoustic sensors and sonars for use underwater. Computers have also become more miniaturized, capable and power efficient. There has been a lot of work on battery technology and connectors that are watertight. Additive manufacturing and 3D printing also help build hulls and components that can withstand the high pressures at depth at much lower costs.

There has also been great progress toward increasing autonomy using more advanced algorithms, in addition to traditional methods for navigation, localization and detection. For example, machine learning algorithms can help a vehicle detect and classify objects, whether stationary like a pipeline or mobile like schools of fish.

What kinds of discoveries have been made using remotely operated and autonomous underwater vehicles?

One example is underwater gliders. These are buoyancy-driven autonomous underwater vehicles. They can stay in water for months. They can collect data on pressure, temperature and salinity as they go up and down in water. All of these are very helpful for researchers to have an understanding of changes that are happening in oceans.

One of these platforms traveled across the North Atlantic Ocean from the coast of Massachusetts to Ireland for nearly a year in 2016 and 2017. The amount of data that was captured in that amount of time was unprecedented. To put it in perspective, a vehicle like that costs about $200,000. The operators were remote. Every eight hours the glider came to the surface, got connected to GPS and said, “Hey, I am here,” and the crew basically gave it the plan for the next leg of the mission. If a crewed ship was sent to gather that amount of data for that long it would cost in the millions.

In 2019, researchers used an autonomous underwater vehicle to collect invaluable data about the seabed beneath the Thwaites glacier in Antarctica.

Energy companies are also using remotely operated and autonomous underwater vehicles for inspecting and monitoring offshore renewable energy and oil and gas infrastructure on the seabed.

Where is the technology headed?

Underwater systems are slow-moving platforms, and if researchers can deploy them in large numbers that would give them an advantage for covering large areas of ocean. A great deal of effort is being put into coordination and fleet-oriented autonomy of these platforms, as well as into advancing data gathering using onboard sensors such as cameras, sonars and dissolved oxygen sensors. Another aspect of advancing vehicle autonomy is real-time underwater decision-making and data analysis.

What is the focus of your research on these submersibles?

My team and I focus on developing navigational and mission-planning algorithms for persistent operations, meaning long-term missions with minimal human oversight. The goal is to respond to two of the main constraints in the deployment of autonomous systems. One is battery life. The other is unknown situations.

The author’s research includes a project to allow autonomous underwater vehicles to recharge their batteries without human intervention.

For battery life, we work on at-sea recharging, both underwater and surface water. We are developing tools for autonomous deployment, recovery, recharging and data transfer for longer missions at sea. For unknown situations, we are working on recognizing and avoiding obstacles and adapting to different ocean currents – basically allowing a vehicle to navigate in rough conditions on its own.

To adapt to changing dynamics and component failures, we are working on methodologies to help the vehicle detect the change and compensate to be able to continue and finish the mission.

These efforts will enable long-term ocean studies including observing environmental conditions and mapping uncharted areas.

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Nina Mahmoudian receives funding from National Science Foundation and Office of Naval Research.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

A newly created real-life Transformer is capable of reconfiguring its body to achieve eight distinct types of motion and can autonomously assess the environment it faces to choose the most effective combination of motions to maneuver.

Engineers at Westlake University, China, have created a synthetic tube of liquid crystal elastomers with a unique range of motion. In their paper, "Bioinspired helical-artificial fibrous muscle structured tubular soft actuators," published in Science Advances, the engineering team reveals the unique manufacturing technique used to achieve a remarkably versatile tubular structure.

Engineers at Westlake University, China, have created a synthetic tube of liquid crystal elastomers with a unique range of motion. In their paper, "Bioinspired helical-artificial fibrous muscle structured tubular soft actuators," published in Science Advances, the engineering team reveals the unique manufacturing technique used to achieve a remarkably versatile tubular structure.

As we will discuss in this article, cobots can add tremendous value to your operations, but you should be sure to pay attention to risk assessments and safeguarding requirements.