RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
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Cited by 20 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Robotic behavior synthesis, the problem of understanding multimodal inputs and generating precise physical control for robots, is an important part of Embodied AI. Despite successes in applying multimodal large language models for high-level understanding, it remains challenging to translate these conceptual understandings into detailed robotic actions while achieving generalization across various scenarios. In this paper, we propose a tree-structured multimodal code generation framework for generalized robotic behavior synthesis, termed RoboCodeX. RoboCodeX decomposes high-level human instructions into multiple object-centric manipulation units consisting of physical preferences such as affordance and safety constraints, and applies code generation to introduce generalization ability across various robotics platforms. To further enhance the capability to map conceptual and perceptual understanding into control commands, a specialized multimodal reasoning dataset is collected for pre-training and an iterative self-updating methodology is introduced for supervised fine-tuning. Extensive experiments demonstrate that RoboCodeX achieves state-of-the-art performance in both simulators and real robots on four different kinds of manipulation tasks and one navigation task.
Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). Builds on 81 of its 97 references that are in the map. First posted on arXiv 25 Feb 2024.
Builds on
81 of 97 references.
References · 81
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50 most cited of 81 All 81 (JSON)
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Citing papers per year: 2024: 17; 2025: 19; 2026: 19.
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50 most cited of 55 All 55 (JSON)
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12 most cited of 13 All 13 (JSON)
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- 2026Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents9 Jul 2026
- 2026ASPIRE: Agentic /Skills Discovery for Robotics30 Jun 2026
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- 2024Natural Language as Policies: Reasoning for Coordinate-Level Embodied Control with LLMs20 Mar 2024
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- 2026SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimizationcited by 3
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- 2026SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimization14 Mar 2026
- 2025EmbodiedCoder: Parameterized Embodied Mobile Manipulation via Modern Coding Model7 Oct 2025
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- 2024VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions28 Oct 2024
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- 2024DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planningcited by 14
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12 most cited of 22 All 22 (JSON)
- 2026Agent as Policy for Robotic Manipulation11 Sep 2026
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- 2026Efficient Skill Grounding via Code Refactoring with Small Language Models6 Jun 2026
- 2026CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation17 Mar 2026
- 2025ReCode: Unify Plan and Action for Universal Granularity Control27 Oct 2025
- 2025Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning24 Oct 2025
- 2025VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing6 Oct 2025
- 2025Multilingual Multimodal Software Developer for Code Generation11 Jul 2025
- 2025RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation22 Jun 2025
- 2025RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks7 Jun 2025
- 2025Camera Control at the Edge with Language Models for Scene Understanding9 May 2025
- 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins17 Apr 2025
12 newest of 22 All 22 (JSON)
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