Skill-SLM: Agent Skill-driven Small Language Models for Reliable Robot Operation
cs.RO
Submitted: 2026-10-07
Updated: 2026-10-07
Terminology
Sources
- ASPIRE: Agentic /Skills Discovery for Robotics
- A Survey of Scaling in Large Language Model Reasoning
- Sensitivity of Small Language Models to Fine-tuning Data Contamination
- Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments
- Qwen3 Technical Report
- Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
- Gemini Robotics: Bringing AI into the Physical World
- The Llama 3 Herd of 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