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Artificial Intelligence

The Time-Telling Conundrum: How Advanced AI Struggles with Basic Tasks

Some of the world’s most advanced AI systems struggle to tell the time and work out dates on calendars, a study suggests.

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The study reveals that state-of-the-art AI models are unable to reliably interpret clock-hand positions or correctly answer questions about dates on calendars. This is due to a combination of spatial awareness, context, and basic math – skills that remain challenging for AI. To overcome this limitation, researchers propose enabling AI systems to power time-sensitive applications like scheduling assistants, autonomous robots, and tools for people with visual impairments.

In an experiment, the team tested various clock designs, including those with Roman numerals, with and without second hands, and different colored dials. The results show that AI systems can get clock-hand positions right less than a quarter of the time. Mistakes were more common when clocks had Roman numerals or stylized clock hands, suggesting deep-seated issues with hand detection and angle interpretation.

Researchers also asked AI models to answer calendar-based questions, such as identifying holidays and working out past and future dates. Even the best-performing AI model got date calculations wrong one-fifth of the time.

The findings are reported in a peer-reviewed paper that will be presented at an upcoming conference on reasoning and planning for large language models. The researchers emphasize the need to address these fundamental gaps in AI abilities, so that systems can be successfully integrated into real-world applications like scheduling, automation, and assistive technologies.

As Rohit Saxena, lead researcher from the University of Edinburgh’s School of Informatics, notes: “Most people can tell the time and use calendars from an early age. Our findings highlight a significant gap in the ability of AI to carry out what are quite basic skills for people.”

Aryo Gema, another researcher from the same school, adds: “AI research today often emphasizes complex reasoning tasks, but ironically, many systems still struggle when it comes to simpler, everyday tasks. Our findings suggest it’s high time we addressed these fundamental gaps. Otherwise, integrating AI into real-world, time-sensitive applications might remain stuck at the eleventh hour.”

Artificial Intelligence

“Paws-itive Progress: Amphibious Robotic Dog Breaks Ground in Mobility and Efficiency”

A team of researchers has unveiled a cutting-edge Amphibious Robotic Dog capable of roving across both land and water with remarkable efficiency.

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The field of robotics has taken a significant leap forward with the development of an amphibious robotic dog, capable of efficiently navigating both land and water. This innovative creation was inspired by the remarkable mobility of mammals in aquatic environments.

Unlike existing amphibious robots that often draw inspiration from reptiles or insects, this robotic canine is based on the swimming style of dogs. This design choice has allowed it to overcome several limitations faced by insect-inspired designs, such as reduced agility and load capacity.

The key to the amphibious robot’s water mobility lies in its unique paddling mechanism, modeled after the natural swimming motion of dogs. By carefully balancing weight and buoyancy, the engineers have ensured stable and effective aquatic performance.

To test its capabilities, the researchers developed and experimented with three distinct paddling gaits:

* A doggy paddle method that prioritizes speed
* A trot-like style that focuses on stability
* A third gait that combines elements of both

Through extensive experimentation, it was found that the doggy paddle method proved superior for speed, achieving a maximum water speed of 0.576 kilometers per hour (kph). On land, the amphibious robotic dog reaches speeds of 1.26 kph, offering versatile mobility in amphibious environments.

“This innovation marks a big step forward in designing nature-inspired robots,” says Yunquan Li, corresponding author of the study. “Our robot dog’s ability to efficiently move through water and on land is due to its bioinspired trajectory planning, which mimics the natural paddling gait of real dogs.”

The implications of this technology are vast and exciting, with potential applications in environmental research, military vehicles, rescue missions, and more. As we continue to push the boundaries of what’s possible with robotics, it’s clear that the future holds much promise for innovation and discovery.

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Artificial Intelligence

“Revolutionizing Hospital Disinfection: Autonomous Robots for Efficient Sanitation”

A research team develops disinfection robot combining physical wiping and UV-C sterilization.

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The COVID-19 pandemic has brought to the forefront the critical importance of thorough disinfection, particularly within hospital environments. However, traditional manual disinfection methods have inherent limitations, including labor shortages due to physical fatigue and risk of exposure to pathogens, inconsistent human performance, and difficulty in reaching obscured or hard-to-reach areas.

To address these challenges, a team of researchers from Pohang University of Science and Technology (POSTECH) has developed an “Intelligent Autonomous Wiping and UV-C Disinfection Robot” that can automate hospital disinfection processes. This innovative robot is capable of navigating through hospital environments and performing disinfection tasks with precision and consistency.

The key feature of this robot is its dual disinfection system, which combines physical wiping and UV-C irradiation to effectively remove contaminants from surfaces. The robotic manipulator uses a wiping mechanism to physically clean high-touch areas, while the UV-C light ensures thorough disinfection of hard-to-reach corners and narrow spaces.

Real-world testing at Pohang St. Mary’s Hospital validated the robot’s performance, with bacterial culture experiments confirming its effectiveness in disinfecting surfaces. Repeated autonomous operations were carried out to verify its long-term usability in clinical settings.

The significance of this technology lies in its ability to automate time-consuming and repetitive disinfection tasks, allowing healthcare professionals to devote more attention to patient care. Additionally, the robot’s precision control algorithms minimize operational failures, while its integration with a self-sanitizing station and wireless charging system ensures sustained disinfection operations.

Professor Keehoon Kim emphasized that despite COVID-19 transitioning into an endemic phase, it remains essential to prepare for future pandemics by advancing this disinfection robot technology beyond hospitals to public facilities, social infrastructures, and everyday environments to further reduce infection risks. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT).

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Artificial Intelligence

The Power of Robot Design: How Service Robots’ Gender Characteristics Influence Customer Decisions

While service robots with male characteristics can be more persuasive when interacting with some women who have a low sense of decision-making power, ‘cute’ design features — such as big eyes and raised cheeks — affect both men and women similarly, according to new research.

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The hospitality industry is taking a cue from new research in the Penn State School of Hospitality Management, which suggests that service robots can be designed to influence customers’ decisions based on their gender characteristics. The study found that service robots with characteristics typically associated with males may be more persuasive when interacting with women who have a low sense of power.

Led by researchers Lavi Peng, Anna Mattila, and Amit Sharma, the team conducted two studies to explore how the gender portrayed in service robots can affect customers’ decisions. In the first study, participants were asked to imagine visiting a new restaurant and receiving a menu recommendation from a service robot. The results showed that women with a low sense of power were more likely to accept recommendations from male robots.

“For men with a low sense of power, we found the difference was less obvious,” said Peng. “Based on our findings, consumers with high power tend to make their own judgment without relying on societal expectations.”

The researchers suggested that businesses could leverage these findings by using male robots to recommend new menu items or persuade customers to upgrade their rooms.

To mitigate gender stereotypes in robot design, the team conducted a second study and found that “cute” features, such as big eyes and raised cheeks, can reduce the effect of portrayed robot gender on persuasiveness. Both male and female customers responded similarly to robots with these features, suggesting that businesses could consider using cute designs to mitigate gender stereotypes.

The Marriott Foundation supported this research, highlighting the importance of understanding how service robots can influence customer decisions in the hospitality industry.

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