We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck and a red rose, she will most likely correctly identify the color of a tomato, even if it is the first time she sees one.We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck and a red rose, she will most likely correctly identify the color of a tomato, even if it is the first time she sees one.[#item_full_content]

Recent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with unique characteristics designed for varying real-world applications. These include robots that can engage in activities traditionally only completed by humans, such as sketching, painting and even hand-writing documents.Recent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with unique characteristics designed for varying real-world applications. These include robots that can engage in activities traditionally only completed by humans, such as sketching, painting and even hand-writing documents.[#item_full_content]

A team of roboticists at Sony Computer Science Laboratories Inc. and the NeuroPiano Institute, in Kyoto, reports that a robotic exoskeleton strapped to the top of a piano player’s hand allowed it to control the player’s fingers during speed exercises, leading to improvements in playing fast-moving piano tunes. In their study, published in the journal Science Robotics, the group conducted experiments with their exoskeleton hand robot with more than 100 trained piano players.A team of roboticists at Sony Computer Science Laboratories Inc. and the NeuroPiano Institute, in Kyoto, reports that a robotic exoskeleton strapped to the top of a piano player’s hand allowed it to control the player’s fingers during speed exercises, leading to improvements in playing fast-moving piano tunes. In their study, published in the journal Science Robotics, the group conducted experiments with their exoskeleton hand robot with more than 100 trained piano players.[#item_full_content]

Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.[#item_full_content]

A complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A study published in Science, paves the way for complex touch sensations through brain stimulation while using an extracorporeal bionic limb, that is attached to a chair or wheelchair. The paper is titled “Tactile edges and motion via patterned microstimulation of the human somatosensory cortex.”A complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A study published in Science, paves the way for complex touch sensations through brain stimulation while using an extracorporeal bionic limb, that is attached to a chair or wheelchair. The paper is titled “Tactile edges and motion via patterned microstimulation of the human somatosensory cortex.”[#item_full_content]

Over the past decades, robotic systems have been rapidly advancing, fueled by the continuous introduction of more advanced electronics, mechanical components and software solutions. As a result, robots can easily become obsolete and outdated as newer systems emerge.Over the past decades, robotic systems have been rapidly advancing, fueled by the continuous introduction of more advanced electronics, mechanical components and software solutions. As a result, robots can easily become obsolete and outdated as newer systems emerge.[#item_full_content]

Researchers at Stanford University, Princeton University, and Dexterity recently developed TidyBot++, a holonomic mobile robot that can perform various household chores and could help to train or test new algorithms for robotics applications.Researchers at Stanford University, Princeton University, and Dexterity recently developed TidyBot++, a holonomic mobile robot that can perform various household chores and could help to train or test new algorithms for robotics applications.[#item_full_content]

Humans and animals are the key inspiration for many robotic systems developed to date, as they possess body structures that innately support efficient locomotion. While many bipedal (i.e., two-legged) robots are humanoids, meaning that their body resembles that of humans, others draw inspiration from other animals that walk on two legs, such as ostriches and some other birds.Humans and animals are the key inspiration for many robotic systems developed to date, as they possess body structures that innately support efficient locomotion. While many bipedal (i.e., two-legged) robots are humanoids, meaning that their body resembles that of humans, others draw inspiration from other animals that walk on two legs, such as ostriches and some other birds.[#item_full_content]

Scientists have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain.Scientists have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain.[#item_full_content]

A research team from Seoul National University has proposed a gripper capable of moving multiple objects together to enhance the efficiency of pick-and-place processes, inspired by humans’ multi-object grasping strategy. The gripper not only transfers multiple objects at once but also places individual objects at desired locations. The study, which analyzed human motion principles and successfully applied them to a robotic gripper, is published in the journal Science Robotics.A research team from Seoul National University has proposed a gripper capable of moving multiple objects together to enhance the efficiency of pick-and-place processes, inspired by humans’ multi-object grasping strategy. The gripper not only transfers multiple objects at once but also places individual objects at desired locations. The study, which analyzed human motion principles and successfully applied them to a robotic gripper, is published in the journal Science Robotics.[#item_full_content]