Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
Abstract: The robotic shape control of deformable linear objects has garnered increasing interest within the robotics community. Despite recent progress, the majority of shape control approaches can ...