Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
N Dinesh Reddy, Dylan Snyder, Lona Kiragu, Mirajul Mohin, Shahrear Bin Amin, Sudeep Pillai

TL;DR
Orion is a comprehensive visual agent that combines vision-based reasoning with tool-augmented execution to perform complex, multi-step visual tasks across various media, advancing beyond traditional models.
Contribution
It introduces a unified system integrating multiple specialized vision tools for multi-step visual workflows, enhancing performance and practical applicability.
Findings
Achieves competitive results on MMMU, MMBench, DocVQA, MMLongBench
Extends monolithic VLM capabilities to production-grade visual intelligence
Enables autonomous, tool-driven visual reasoning
Abstract
We introduce Orion, a visual agent that integrates vision-based reasoning with tool-augmented execution to achieve powerful, precise, multi-step visual intelligence across images, video, and documents. Unlike traditional vision-language models that generate descriptive outputs, Orion orchestrates a suite of specialized computer vision tools, including object detection, keypoint localization, panoptic segmentation, Optical Character Recognition (OCR), and geometric analysis, to execute complex multi-step visual workflows. The system achieves competitive performance across MMMU, MMBench, DocVQA, and MMLongBench while extending monolithic VLM capabilities to production-grade visual intelligence. Through its agentic, tool-augmented approach, Orion enables autonomous visual reasoning that bridges neural perception with symbolic execution, marking the transition from passive visual…
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Taxonomy
TopicsMultimodal Machine Learning Applications · Advanced Neural Network Applications · Robot Manipulation and Learning
