Author name: bigai

Enabling the generalizable grasping for embodied AI

GenDexGrasp is a novel, hand-agnostic grasping algorithm that addresses the challenges of generalizable robotic grasping. Trained on the large-scale MultiDex dataset, it efficiently generates diverse and successful grasps for various multi-fingered robotic hands, outperforming previous methods in success rate, inference speed, and diversity.

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Unleashing Artificial Social Intelligence: The Future of AI and Human Interaction

In recent years, the pursuit of general artificial intelligence has intensified, but challenges remain. One major hurdle is developing Artificial Social Intelligence (ASI), which encompasses perceiving social events, inferring goals and intentions, and facilitating interactions. This complex ability sets humans apart from primates and remains difficult to implement in AI systems.

Significant Progress in Robot Scene Reconstruction and Action-Informed Autonomous Planning

Recently, our robotics team published a paper in IJCV 2022 titled “Scene Reconstruction with Functional Objects for Robot Autonomy.” They introduced an innovative problem of scene reconstruction and representation, offering essential information for robotic autonomy while enabling interactive virtual scenes that closely mimic real-world scenarios for simulation testing.

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