Autonomous navigation algorithms enable mobile robots to perceive their environment, determine their own position, plan feasible trajectories and execute motion without human intervention. Core ...

The rapid proliferation of autonomous robotic systems, from UAV swarms and warehouse fleets to humanoid robots, has placed multi-agent coordination at the ...

Path planning lies at the core of autonomous robotics, enabling robots to navigate complex environments safely and efficiently. Broadly, algorithms fall into two categories: global planning, which ...

A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles” was published by RMIT University, Kyungpook National University, ...

While the statement, "Humanoid robots are coming," might cause anxiety for some, for one Georgia Tech research team, working with humanlike robots couldn't be more exciting. The researchers have ...