Tess Forster

Papers

2

Total Citations

11

H-Index

2

About

Tess Forster is a leading researcher at the intersection of virtual reality (VR) and robotic systems, with a primary focus on medical and surgical applications. Her work centers on evaluating the effectiveness of immersive VR environments as training tools for complex robotic tasks, particularly the setup and operation of surgical robots. Forster’s major contribution lies in demonstrating that VR-based training can significantly improve user proficiency and reduce errors in high-stakes medical settings, offering a scalable alternative to traditional hands-on instruction. Her most cited paper, “On the effectiveness of virtual reality-based training for surgical robot setup” (2020), has garnered 8 citations, establishing a foundation for integrating VR into surgical education. A subsequent study, “On the Effectiveness of Virtual Reality-based Training for Robotic Setup” (2020), with 3 citations, extends this work by exploring VR’s role across industries, from manufacturing to healthcare. Forster’s research is pivotal for advancing safe, efficient training protocols in an era of increasing robotic automation, making her a key voice in the future of medical robotics and human-machine interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
On the effectiveness of virtual reality-based training for surgical robot setup
8 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago