# Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cooperative-assistance-in-robotic-surgery-through-multi-agent-reinforcement/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Paul Maria Scheikl,Balázs Gyenes,Tornike Davitashvili,Rayan Younis,André Schulze,Beat P. Müller‐Stich,Gerhard Neumann,Martin Wagner,Franziska Mathis-Ullrich |
| Citations | 21 |
| DOI | 10.1109/iros51168.2021.9636193 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2110.04857 |
| OpenAlex ID | https://openalex.org/W3207864249 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Tornike Davitashvili](https://scholariq.org/researchers/tornike-davitashvili/)

## Paper primary topic

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)

## Paper topics

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.