ContactRL paper validates tactile insertion learning on Universal Robots UR3e
Evidence notes
- ContactRL presents a reinforcement-learning approach for contact-rich insertion tasks using tactile perception.
- The real-world validation uses a Universal Robots UR3e arm in the robotic insertion setup.
Company context
Universal Robots develops collaborative robot arms for flexible automation in industrial and commercial environments.