Soft inflatable robots have emerged as a promising paradigm for applications that require inherent safety and adaptability. However, the integration of sensing and control systems in these robots has posed significant challenges without compromising their softness, form factor, or capabilities.Soft inflatable robots have emerged as a promising paradigm for applications that require inherent safety and adaptability. However, the integration of sensing and control systems in these robots has posed significant challenges without compromising their softness, form factor, or capabilities.[#item_full_content]

A team of mechanical engineers at Cornell University, working with a colleague from Technion-Israel Institute of Technology, has designed and built a tiny robot that is powered by a combustion engine. In their paper published in the journal Science, the group describes how they built their tiny engine and possible uses for it. Ryan Truby, with Northwestern University, has published a Perspective piece in the same journal issue outlining the work done by the team on this new effort.A team of mechanical engineers at Cornell University, working with a colleague from Technion-Israel Institute of Technology, has designed and built a tiny robot that is powered by a combustion engine. In their paper published in the journal Science, the group describes how they built their tiny engine and possible uses for it. Ryan Truby, with Northwestern University, has published a Perspective piece in the same journal issue outlining the work done by the team on this new effort.[#item_full_content]

Researchers at the University of Washington have developed small robotic devices that can change how they move through the air by “snapping” into a folded position during their descent. The team published these results in Science Robotics.Researchers at the University of Washington have developed small robotic devices that can change how they move through the air by “snapping” into a folded position during their descent. The team published these results in Science Robotics.[#item_full_content]

Large language models (LLMs) are advanced deep learning techniques that can interact with humans in real-time and respond to prompts about a wide range of topics. These models have gained much popularity after the release of ChatGPT, a model created by OpenAI that surprised many users for its ability to generate human-like answers to their questions.Large language models (LLMs) are advanced deep learning techniques that can interact with humans in real-time and respond to prompts about a wide range of topics. These models have gained much popularity after the release of ChatGPT, a model created by OpenAI that surprised many users for its ability to generate human-like answers to their questions.[#item_full_content]

In a virtual reality study that sheds light on the intricacies of human-robot interactions, researchers have discovered that humans are capable of experiencing empathic embarrassment when witnessing robots go through embarrassing situations.In a virtual reality study that sheds light on the intricacies of human-robot interactions, researchers have discovered that humans are capable of experiencing empathic embarrassment when witnessing robots go through embarrassing situations.[#item_full_content]

Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a “brainless” soft robot that can navigate more complex and dynamic environments. The paper, “Physically Intelligent Autonomous Soft Robotic Maze Escaper,” was published Sept. 8 in the journal Science Advances.Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a “brainless” soft robot that can navigate more complex and dynamic environments. The paper, “Physically Intelligent Autonomous Soft Robotic Maze Escaper,” was published Sept. 8 in the journal Science Advances.[#item_full_content]

Recently published research assessed human trust when collaborating with eyed and non-eyed robots of the same type. The data suggest that humans might not need human-like machines to trust and work with them. Instead, they even seem to collaborate better with machine-like, eyeless machines.Recently published research assessed human trust when collaborating with eyed and non-eyed robots of the same type. The data suggest that humans might not need human-like machines to trust and work with them. Instead, they even seem to collaborate better with machine-like, eyeless machines.[#item_full_content]

Robots made of metal and other solid materials are already widely used in industry. But they are too rigid and cumbersome for fine-motor activities and interaction with people, such as in nursing or medicine. Intensive research is therefore already being carried out into robots made of soft materials: inspiration from nature, such as jellyfish, earthworms, fish or the human body should enable “soft robots” that can move flexibly and adapt to their environment.Robots made of metal and other solid materials are already widely used in industry. But they are too rigid and cumbersome for fine-motor activities and interaction with people, such as in nursing or medicine. Intensive research is therefore already being carried out into robots made of soft materials: inspiration from nature, such as jellyfish, earthworms, fish or the human body should enable “soft robots” that can move flexibly and adapt to their environment.[#item_full_content]

Evolutionary robotics is a sub-field of robotics aimed at developing artificial “organisms” that can improve their capabilities and body configuration in response to their surroundings, just as humans and animals evolve, adapting their skills and appearance over time. A growing number of roboticists have been trying to develop these evolvable robotic systems, leveraging recent artificial intelligence (AI) advances.Evolutionary robotics is a sub-field of robotics aimed at developing artificial “organisms” that can improve their capabilities and body configuration in response to their surroundings, just as humans and animals evolve, adapting their skills and appearance over time. A growing number of roboticists have been trying to develop these evolvable robotic systems, leveraging recent artificial intelligence (AI) advances.[#item_full_content]

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