Haoquan Fang — accepted AI-conference papers

2026

MolmoAct: Action Reasoning Models That Can Reason in Space

Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Shuo Liu, Boyang Li +13

ICRA 2026poster

Reasoning is essential for purposeful action, yet most robotic foundation models map perception and instructions directly to control, limiting adaptability, generalization, and semantic grounding. We introduce Action Reasoning Models (ARMs), which integrate perception, planning, and control through …

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2025

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation

Haoquan Fang, Markus Grotz, Wilbert Pumacay, Yi Ru Wang, Dieter Fox, Ranjay Krishna +1

ICML 2025poster

Robotic manipulation systems operating in diverse, dynamic environments must exhibit three critical abilities: multitask interaction, generalization to unseen scenarios, and spatial memory. While significant progress has been made in robotic manipulation, existing approaches often fall short in gene…

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