In the video published on Monday, each robot picks objects from piles of different heights, forcing the system to rely on live perception and motion planning. The robots do not follow fixed paths.

R esearchers at Carnegie Mellon University have developed a new tactile sensing system that allows quadrupedal robots to carry loose, unsecured cylindrical objects on their backs without the cargo ...

Abstract: Traditional MOT methods often struggle with issues such as occlusions, identity switches, and limited cross-camera trajectory matching accuracy. To overcome these challenges, this paper ...

Abstract: Cooperative localization and target tracking are essential for multi-robot systems to implement high-level tasks. To this end, we propose a distributed invariant Kalman filter (KF) based on ...

PLA entities research using AI for autonomous target recognition and battlefield decision support, documents show Chinese military appears to favor Deepseek AI models PLA seems to be increasing ...