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Chu Tang

3 accepted papers

2026

Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation

ICML 2026poster

We present Move-Then-Operate, a Vision–language–action framework that explicitly decouples robotic manipulation into two distinct behavioral phases: coarse relocation (move) and contact-critical interaction (operate). Unlike monolithic policies that conflate these heterogeneous regimes, our architec…

Cited by 0SourceScholar
2026

Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective

ICLR 2026poster

Existing Multimodal Large Language Models (MLLMs) process a large number of visual tokens, leading to significant computational costs and inefficiency. Instruction-related visual token compression demonstrates strong task relevance, which aligns well with MLLMs’ ultimate goal of instruction followin…

Cited by 0SourceScholar
2025

Stimulating Imagination: Towards General-purpose "Something Something Placement"

IROS 2025

General-purpose object placement is a fundamental capability of an intelligent generalist robot: being capable of rearranging objects following precise human instructions even in novel environments. This work is dedicated to achieving general-purpose object placement with "something something" instr

Cited by 0SourceScholar