Shruti Joshi

Papers

2

Total Citations

18

H-Index

2

About

Shruti Joshi is a leading researcher in dexterous manipulation and open-source robotics, whose work is fundamentally reshaping how the field tackles complex, real-world challenges. Her primary contributions lie in developing accessible, scalable platforms for robotic learning, directly addressing the prohibitive cost and logistical barriers of physical experimentation. Joshi is the driving force behind **TriFinger**, a pioneering open-source robotic platform designed for learning dexterity. This work, which has garnered over 16 citations, provides the research community with a standardized, low-cost system for studying intricate manipulation tasks, moving the field beyond simulation. She further extended this vision as a key organizer of the **Real Robot Challenge**, a cloud-based robotics competition that enabled researchers worldwide to remotely control physical robots hosted at the Max Planck Institute for Intelligent Systems. This innovative approach, documented in a 2021 paper, democratized access to cutting-edge hardware, fostering collaborative progress. Through these landmark achievements, Joshi is not only advancing the science of dexterous manipulation but also building the very infrastructure that will accelerate its future breakthroughs.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
TriFinger: An Open-Source Robot for Learning Dexterity
16 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 45

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago