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Russian tech giant Yandex said Tuesday it planned to launch self-driving delivery robots on US college campuses later this year, the company's latest push into foreign markets.

The idea of incorporating actual muscles or neurons into a robotic system might sound like science fiction, but researchers in Carnegie Mellon University's Department of Mechanical Engineering are taking steps to make it a reality.

Many insects and spiders get their uncanny ability to scurry up walls and walk upside down on ceilings with the help of specialized sticky footpads that allow them to adhere to surfaces in places where no human would dare to go.

Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those that involve grasping and manipulating objects.

Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those that involve grasping and manipulating objects.

A team of researchers from the University of Toronto and Lunenfeld-Tanenbaum Research Institute, has developed a technique for controlling the movements of a live nematode using laser light. In their paper published in the journal Science Robotics, the group describes their technique. Adriana San-Miguel with North Carolina State University has published a Focus piece in the same journal issue outlining the work done by the team.

A team of researchers from the University of Toronto and Lunenfeld-Tanenbaum Research Institute, has developed a technique for controlling the movements of a live nematode using laser light. In their paper published in the journal Science Robotics, the group describes their technique. Adriana San-Miguel with North Carolina State University has published a Focus piece in the same journal issue outlining the work done by the team.

Researchers from Baidu Research Robotics and Auto-Driving Lab (RAL) and the University of Maryland, College Park, have introduced an autonomous excavator system (AES) that can perform material loading tasks for a long duration without any human intervention while offering performance closely equivalent to that of an experienced human operator.

As robots increasingly join forces to work with humans—from nursing care homes to warehouses to factories—they must be able to proactively offer support. But first, robots have to learn something we know instinctively: how to anticipate people's needs.

The chaotically moving objects dense clusters digital twin is being developed by students from NUST MISIS, ITMO and MIPT to navigate robots. It is going to be a web service using graph neural networks, which will allow studying the physics of crowds, the laws of swarm behavior in animals and the principles of "active matter" motion. This data is often required for educating courier robots, drones and other autonomous devices operating in crowded spaces. The first results were published in the Journal of Physics: Conference Series.

Japanese technology company SoftBank denies it's pulling the plug on its friendly, talking, bubble-headed Pepper robot.

Researchers at University of Michigan have recently developed a bi-directional model that can predict how much both humans and robotic agents can be trusted in situations that involve human-robot collaboration. This model, presented in a paper published in IEEE Robotics and Automation Letters, could help to allocate tasks to different agents more reliably and efficiently.

Japan's SoftBank has suspended production of its humanoid robot Pepper, a company spokeswoman said Tuesday, seven years after the conglomerate unveiled the signature chatty white android to much fanfare.

A team of researchers working at Johannes Kepler University has developed an autonomous drone with a new type of technology to improve search-and-rescue efforts. In their paper published in the journal Science Robotics, the group describes their drone modifications. Andreas Birk with Jacobs University Bremen has published a Focus piece in the same journal issue outlining the work by the team in Austria.

Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain.