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cs.RO2025

Rethinking Intermediate Representation for VLM-based Robot Manipulation

Weiliang Tang, Jialin Gao, Jia-Hui Pan +6

Vision-Language Model (VLM) is an important component to enable robust robot manipulation. Yet, using it to translate human instructions into an action-resolvable intermediate repr…

cs.RO2025

CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation

Kun Song, Gaoming Chen, Shentao Ma +5

One central goal of robotics is to enable robots to interact with the physical world. Traditional manipulation studies primarily focus on single robots and relatively small objects…

cs.RO2025

OPA-Pack: Object-Property-Aware Robotic Bin Packing

Jia-Hui Pan, Yeok Tatt Cheah, Zhengzhe Liu +5

Robotic bin packing aids in a wide range of real-world scenarios such as e-commerce and warehouses. Yet, existing works focus mainly on considering the shape of objects to optimize…

cs.AI2025

Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation

Weiliang Tang, Dong Jing, Jia-Hui Pan +5

Recent Large Multimodal Models have demonstrated remarkable reasoning capabilities, especially in solving complex mathematical problems and realizing accurate spatial perception. O…

cs.RO2025

GeoManip: Geometric Constraints as General Interfaces for Robot Manipulation

Weiliang Tang, Jia-Hui Pan, Yun-Hui Liu +4

We present GeoManip, a framework to enable generalist robots to leverage essential conditions derived from object and part relationships, as geometric constraints, for robot manipu…