Papers

2

Total Citations

33

H-Index

2

About

Monica Li is a robotics researcher whose work bridges the gap between soft robotics, haptics, and collaborative manufacturing. Her key research areas include adaptive robotic gripping, tactile sensing, and the development of intelligent end-effectors for industrial and assistive applications. Li’s most notable contribution is her design of a multi-chamber smart suction cup, which enables robots to both grip objects adaptively and perform haptic exploration by monitoring suction flow through integrated pressure transducers. This innovation, detailed in her 2021 paper (28 citations), represents a significant step toward more dexterous and sensor-rich robotic manipulation. Her 2023 overview of collaborative robot swarms (5 citations) further demonstrates her forward-looking perspective on the evolution of manufacturing, highlighting trends in cobot mechanics and safety. While her citation counts reflect an early-career trajectory, the novelty of her suction cup design—combining tactile feedback with adaptive gripping—positions her as a rising contributor to the field of soft and industrial robotics. Li’s work is particularly relevant for researchers interested in sensor-integrated end-effectors and the practical deployment of robots in human-centric environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
33
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Multi-Chamber Smart Suction Cup for Adaptive Gripping and Haptic Exploration
28 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of California, Berkeley, Polytechnique Montréal

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago