As robots grow more and more integrated into numerous industries, it is critical to comprehend how humans respond to their failures. This paper systematically studies how trust dynamics and system design are affected by human responses to robot failures. The three-stage survey used in the study provides a thorough understanding of human-robot interactions. While the second stage concentrates on interaction details, such as robot precision and error acknowledgment, the first stage collects demographic data and initial levels of trust. In the last phase, participants' perceptions are examined after the encounter, and trust dynamics, forgiveness, and propensity to suggest robotic technologies are evaluated. Results show that participants' trust in robotic technologies increased significantly when robots acknowledged their errors or limitations to participants and their willingness to suggest robots for activities in the future points to a favorable change in perception, emphasizing the role that direct engagement has in influencing trust dynamics. By providing useful advice for creating more sympathetic, responsive, and reliable robotic systems, the study advances the science of human-robot interaction and promotes a wider adoption of robotic technologies.

Sustainability is no longer a matter of choice but is invariably linked to the survival of the entire ecosystem of our planet Earth. As robotics technology is growing at an exponential rate, it is crucial to examine its implications for sustainability. Our focus is on social sustainability, specifically analyzing the role of robotics technology in this domain by identifying six distinct ways robots influence social sustainability. Keywords: Companion robots, education, mediator robots, mental health, nudge theory, social inclusion, sustainability, social robots.

Robotic technology has the potential to revolutionize the field of neurology by providing new methods for diagnosis, treatment, and rehabilitation of neurological disorders. In recent years, there has been an increasing interest in the development of robotics applications for neurology, driven by advances in sensing, actuation, and control systems. This review paper provides a comprehensive overview of the recent advancements in robotics technology for neurology, with a focus on three main areas: diagnosis, treatment, and rehabilitation. In the area of diagnosis, robotics has been used for developing new imaging techniques and tools for more accurate and non-invasive mapping of brain structures and functions. For treatment, robotics has been used for developing minimally invasive surgical procedures, including stereotactic and endoscopic approaches, as well as for the delivery of therapeutic agents to specific targets in the brain. In rehabilitation, robotics has been used for developing assistive devices and platforms for motor and cognitive training of patients with neurological disorders. The paper also discusses the challenges and limitations of current robotics technology for neurology, including the need for more reliable and precise sensing and actuation systems, the development of better control algorithms, and the ethical implications of robotic interventions in the human brain. Finally, the paper outlines future directions and opportunities for robotics applications in neurology, including the integration of robotics with other emerging technologies, such as neuroprosthetics, artificial intelligence, and virtual reality. Overall, this review highlights the potential of robotics technology to transform the field of neurology and improve the lives of patients with neurological disorders.

Asteroid restructuring uses robotics, self replication, and mechanical automatons to autonomously restructure an asteroid into a large rotating space station. The restructuring process makes structures from asteroid oxide materials; uses productive self-replication to make replicators, helpers, and products; and creates a multiple floor station to support a large population. In an example simulation, it takes 12 years to autonomously restructure a large asteroid into the space station. This is accomplished with a single rocket launch. The single payload contains a base station, 4 robots (spiders), and a modest set of supplies. Our simulation creates 3000 spiders and over 23,500 other pieces of equipment. Only the base station and spiders (replicators) have advanced microprocessors and algorithms. These represent 21st century technologies created and trans-ported from Earth. The equipment and tools are built using in-situ materials and represent 18th or 19th century technologies. The equipment and tools (helpers) have simple mechanical programs to perform repetitive tasks. The resulting example station would be a rotating framework almost 5 kilometers in diameter. Once completed, it could support a population of over 700,000 people. Many researchers identify the high launch costs, the harsh space environment, and the lack of gravity as the key obstacles hindering the development of space stations. The single probe addresses the high launch cost. The autonomous construction eliminates the harsh space environment for construction crews. The completed rotating station provides radiation protection and centripetal gravity for the first work crews and colonists.

Source: OpenAI's DALL·E 2 with prompt "a hyperrealistic picture of a robot reading the news on a laptop at a coffee shop" Welcome to the 6th edition of Robo-Insight, a robotics news update! In this post, we are excited to share a range of new advancements in the field and highlight robots' progress in areas like medical assistance, prosthetics, robot flexibility, joint movement, work performance, AI design, and household cleanliness. In the medical world, researchers from Germany have developed a robotic system designed to help nurses relieve the physical strain associated with patient care. Their work explores how robotic technology can assist in such tasks by remotely anchoring patients in a lateral position. The results indicate that the system improved the working posture of nurses by an average of 11.93% and was rated as user-friendly.

Source: OpenAI's DALL·E 2 with prompt "a hyperrealistic picture of a robot reading the news on a laptop at a coffee shop" Welcome to the 2nd edition of Robo-Insight, a biweekly robotics news update! In this post, we are excited to share a range of remarkable advancements in the field, showcasing progress in hazard mapping, surface crawling, pump controls, adaptive gripping, surgery, health assistance, and mineral extraction. In the domain of hazard mapping, researchers have developed a collaborative scheme that utilizes both ground and aerial robots for hazard mapping of contaminated areas. The team improved the quality of density maps and lowered estimation errors by using a heterogeneous coverage control technique. In comparison to homogeneous alternatives, the strategy optimizes the deployment of robots based on each one's unique characteristics, producing better estimation values and shorter operation times.

Source: OpenAI's DALL·E 2 with prompt "a hyperrealistic picture of a robot reading the news on a laptop at a coffee shop" Welcome to the inaugural edition of Robo-Insight, a biweekly robotics news update! In this post, we are thrilled to present a range of remarkable advancements in the field, highlighting robotics progress in terrain traversability, shape morphing, object avoidance, mechanical memory, physics-based AI techniques, and new home robotics kits. Recently, researchers from the University of California San Diego have given four-legged robots forward-facing depth cameras to enable them to clearly analyze the environment around and below them. This data can also be compared with past images to estimate possible 3D transformation. Furthermore, their system is also self-checking, as it fuses information to give it a sort of short-term memory. Although the model does not guide the robot to a specific location, it enables the robot to traverse challenging terrain.

Earlier this week, the Toyota Research Institute opened the doors of its Bay Area offices to members of the media for the first time. It was a day full of demos, ranging from driving simulators and drifting instructors to conversations around machine learning and sustainability. Robotics, a longtime focus of Toyota's research division, were on display, as well. First was something more along the lines of what one would expect from Toyota: an industrial arm with a modified gripper designed for the surprisingly complex task of moving boxes from the back of a truck to nearby conveyor belts -- something most factories are hoping to automate in the future. The other is a bit more surprising -- at least for those who haven't followed the division's work that closely.

Researchers are ushering in a new way of thinking about robots in the workplace based on the idea of robots and workers as teammates rather than competitors. For decades, the arrival of robots in the workplace has been a source of public anxiety over fears that they will replace workers and create unemployment. Now that more sophisticated and humanoid robots are actually emerging, the picture is changing, with some seeing robots as promising teammates rather than unwelcome competitors. Take Italian industrial-automation company Comau. It has developed a robot that can collaborate with – and enhance the safety of – workers in strict cleanroom settings in the pharmaceutical, cosmetics, electronics, food and beverage industries.

THINK Surgical, a technology innovator developing orthopedic surgical robots, announced a collaboration with UK based digital health company, Definition Health. The companies will jointly develop a seamless, web-based, connected care solution to enhance the surgical planning experience for surgeons using THINK's robotic technologies for joint replacement surgery. This web-based solution will support all of THINK's robotic products, including new product launches planned for 2023. In addition, this web-based solution will incorporate Definition Health's Total Digital Surgery platform which assists hospitals and surgeons in achieving workflow efficiency, improved perioperative care and virtual follow up for surgical patients. Definition Health's platform is widely deployed in the UK with customers reporting improved profitability for surgical service lines as well as improved patient and provider satisfaction rates.