Scientific research, robot learning, perception, planning, control, and new artificial intelligence methods for robotics.
Researchers at Seoul University have developed a new protocol for collecting data to create a dynamic, multimodal dataset for human-robot interaction (HRI). The dataset is intended for analyzing user engagement during…
The University of Michigan is making a number of robotics projects and datasets publicly available, which support academic research and technology development. These include tools...
At the University of Michigan, studying robotics is not just theory - it's practice, research, and competitions. The program is one of the first of its kind at a top university...
The new FLARE framework enables manipulation robots to independently recover from errors in challenging tasks that require physical contact. The research shows that the approach improves effectiveness...
Researchers have presented RAEM - a new framework for autonomous exploration of multi-story environments by quadruped robots. Simulation and real-world tests have demonstrated its ability to continuously and stably explore...
The Oxford Robotics Institute (ORI) offers doctoral and research programs in the field of autonomous robotics, with a focus on innovative applications in medicine, national security, and systems...
Chad Jenkins, a professor of robotics at the University of Michigan, was named an ACM Fellow in 2025 - one of the most prestigious recognitions in the computer science industry....
Research on embodied intelligence from the Oxford Robotics Institute was presented at the Royal Society’s summer exhibition in London. During the event, participants were able to experience how…
The new VLCP method allows robots to independently improve their control code while performing a task - without model fitting, without examples, and without the need to change the goal....
The Autonomous Robotics Research Center (ARRC) in Abu Dhabi is conducting advanced research on autonomous systems that operate without continuous human intervention. The research focuses on...
The new EATR-Stereo framework, developed by a research team from Peking University, improves the control of humanoids in long-term tasks through intelligent transfer of data from two cameras mounted...
The new PDDL-ART method allows robots to automatically create detailed manipulation plans from a single demonstration and natural language description. The study shows that the system achieves...
Nick Rhinehart, a professor at UTIAS University of Toronto, received the Connaught New Researcher Award for a project aimed at improving the reliability of autonomous robots. The research focuses on...
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