Robotics

3D Gaussian splatting (3DGS) has recently gained recognition as a groundbreaking approach in radiance fields and computer graphics. It stands out as a jack of all trades, addressing challenges that

3D Gaussian Splatting (3DGS) is redefining the landscape of 3D computer graphics and vision — but here’s a catch: it achieves groundbreaking results without relying on any neural networks, not

In recent years, the field of 3D from multi-view has become one of the most popular topics in computer vision conferences, with a high number of submitted papers each year.

Robotics, once a specialized and niche field, has surged into the mainstream with the rapid development of autonomous vehicles, quadruped robots, and humanoids. What’s fueling this revolution? The drive to

LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, LiDAR

ROS (Robot Operating System) is  more than a decade old open-source robotics middleware software, initially developed by two PhD students from  Stanford University. Fast-forward to 2024, ROS has evolved into

 

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