Papers

2

Total Citations

16

H-Index

2

About

Antonin Bernardin is a leading researcher in the physically-based simulation of deformable objects, with a specialized focus on the underexplored domain of suction phenomena. His work bridges a critical gap between robotics and computer graphics, providing the first robust, interactive models for simulating active and passive suction cups. Bernardin’s major contribution is a novel physically-based approach that models the complex behavior of active suction cups, including a groundbreaking formulation for internal pressure variations. This work, published in 2019, has garnered 13 citations and is foundational for realistic simulation in soft robotics and virtual prototyping. He further advanced the field in 2022 with a constraint-based model for passive suction cups, representing internal pressures as dynamic constraints to simulate deformation. Though early in his career, Bernardin’s targeted research has established him as a pioneer in suction cup simulation, offering tools that enable more accurate design and control of robotic grippers and bio-inspired adhesive systems. His work is essential reading for researchers in physically-based animation and soft robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
An Interactive Physically-based Model for Active Suction Phenomenon Simulation
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Institut de Recherche en Informatique et Systèmes Aléatoires

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago