Representation-Guided Generation and Integration of Executable Programs for Robot Manipulation
cs.RO
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- PaLM-E: An Embodied Multimodal Language Model
- VeriGraph: Scene Graphs for Execution Verifiable Robot Planning
- RHO: Your Coding Agent is Secretly a Roboticist
- PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation
- Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning
- Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
- ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- ASPIRE: Agentic /Skills Discovery for Robotics
- Programmatic Video Prediction Using Large Language Models
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving