[2510.07181] TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics

Computer Science > Robotics arXiv:2510.07181 (cs) [Submitted on 8 Oct 2025 (v1), last revised 4 Mar 2026 (this version, v3)] Title:TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics Authors:Yi Han, Enshen Zhou, Shanyu Rong, Jingkun An, Pengwei Wang, Zhongyuan Wang, Cheng Chi, Lu Sheng, Shanghang Zhang View a PDF of the paper titled TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics, by Yi Han and 8 other authors View PDF HTML (experimental) Abstract:Vision-Language Models (VLMs) have shown remarkable capabilities in spatial reasoning, yet they remain fundamentally limited to qualitative precision and lack the computational precision required for real-world robotics. Current approaches fail to leverage metric cues from depth sensors and camera calibration, instead reducing geometric problems to pattern recognition tasks that cannot deliver the centimeter-level accuracy essential for robotic manipulation. We present TIGeR (Tool-Integrated Geometric Reasoning), a novel framework that transforms VLMs from perceptual estimators to geometric computers by enabling them to generate and execute precise geometric computations through external tools. Rather than attempting to internalize complex geometric operations within neural networks, TIGeR empowers models to recognize geometric reasoning requirements, synthesize appropriate computational code, and invoke specialized libraries for exact calculations. To support this p...