Haoxiang Ma

I'm a PhD student in Beihang University where I focus on 6-DoF Grasping and Robotic Manipulation.

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Research

I'm interested in robotic learning, computer vision and embodied AI. Most of my research is about inferring the grasp poses from images and point-clouds.

An active perception method for grasp detection by introducing the neural graspness field, which models the grasp distribution of a scene.

Generalizing 6-DoF grasp detection framework with domain prior knowledge of robotic grasping.

We present a global-to-local method to address hybrid domain gaps in RGB and depth data and insufficient multi-modal feature alignment.

We build a depth guided learning framework, where both the RGB and depth images are fed and their features are combined to generate grasp proposals.

Focus on the problem of feature learning in the presence of scale imbalance for 6-DoF grasp detection and propose a novel approach to especially address the difficulty in dealing with small-scale samples.

We exploit boundary as a significant guidance for context aggregation to promote the overall semantic understanding of an image.

Miscellanea

Reviewer of CVPR, CoRL, ICLR, NeurIPS, ICML, RA-L and etc.

Website template from Jon Barron.