4 papers
Obstruction reasoning for robotic grasping
Runyu Jiao, Matteo Bortolon, Francesco Giuliari +5
Successful robotic grasping in cluttered environments not only requires a model to visually ground a target object but also to reason about obstructions that must be cleared before…
Multimodal Fusion SLAM with Fourier Attention
Youjie Zhou, Guofeng Mei, Yiming Wang +2
Visual SLAM is particularly challenging in environments affected by noise, varying lighting conditions, and darkness. Learning-based optical flow algorithms can leverage multiple m…
Free-form language-based robotic reasoning and grasping
Runyu Jiao, Alice Fasoli, Francesco Giuliari +5
Performing robotic grasping from a cluttered bin based on human instructions is a challenging task, as it requires understanding both the nuances of free-form language and the spat…
PerLA: Perceptive 3D Language Assistant
Guofeng Mei, Wei Lin, Luigi Riz +3
Enabling Large Language Models (LLMs) to understand the 3D physical world is an emerging yet challenging research direction. Current strategies for processing point clouds typicall…