CoPlanVLM: Coordinated Path Planning for a Robot Team using Vision Language Models
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/AICPS/CoPlanVLM
Sources
- DeepFleet: Multi-Agent Foundation Models for Mobile Robots
- LLM-Based Generalizable Hierarchical Task Planning and Execution for Heterogeneous Robot Teams with Event-Driven Replanning
- Collaboration in Multi-Robot Systems: Taxonomy and Survey of Frameworks for Collaboration
- CATNAV: Cached Vision-Language Traversability for Efficient Zero-Shot Robot Navigation
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation
- Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
- OVerSeeC: Open-Vocabulary Costmap Generation from Satellite Images and Natural Language
- End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
- DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
- TrackVLA: Embodied Visual Tracking in the Wild
- NaVILA: Legged Robot Vision-Language-Action Model for Navigation
- Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models
- COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
- Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
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- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies