It’s one thing to keep robots from crashing into fixed obstacles like walls or furniture, but preventing collisions with other moving things is a much tougher challenge. Targeting teams of robots ...

Countless startups are trying to solve hard robotics problems in industry. But few are looking to bring the tech into homes. Well, few except for Matic. A relatively new venture founded by Navneet ...

Researchers at Northeastern University have developed a new algorithm that significantly improves the efficiency of mobile robot navigation. Designed to reduce the heavy memory demands of autonomous ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

There's no question that robots will play an increasingly central role in our lives in the future, but to get to a stage where they can be genuinely useful there are still a number of challenges to be ...

Plenty of companies have demoed home robots, but few, if any, have actually been released. The truth is that even the most advanced robots aren't very good at interacting with objects and environments ...

To effectively participate in a group discussion, it's important to be able to identify who is present and direct your attention accordingly. For most people, this is not hard, but designing robots ...

Robot dogs can move efficiently, but not all that naturally -- and no, twerking doesn't count. Virginia Tech researchers think they can do better. They're developing a combination of algorithms and ...

Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as ...

What began as a concept at NASA two decades ago is now rolling into reality at Texas A&M University, thanks to the dedication of two ambitious graduate students. This concept is called RoboBall, which ...