Shashank Agarwal

Massachusetts Institute of Technology

Papers

2

Total Citations

101

H-Index

2

About

Shashank Agarwal is a leading researcher in the physics of granular media and bio-inspired locomotion, whose work reveals surprising order in complex, multiphase systems. His most influential study, "Surprising simplicity in the modeling of dynamic granular intrusion" (2021, 61 citations), challenges long-held assumptions by demonstrating that dynamic intrusions—from projectile impact to wheel locomotion—can be described by a remarkably unified and simple model, despite the solid, fluid, and gas-like behaviors of grains. This breakthrough offers a powerful new framework for engineers designing rovers, projectiles, and earth-moving equipment. Agarwal further extends these principles to biology in his highly cited work "Mitigating memory effects during undulatory locomotion on hysteretic materials" (2020, 40 citations). By studying the desert shovel-nosed snake, he discovered that body inertia is negligible in granular media, revealing how animals exploit material memory to achieve rapid, efficient movement. These contributions not only deepen our fundamental understanding of granular physics but also provide actionable design principles for robotic locomotion on deformable terrains, establishing Agarwal as a key figure at the intersection of soft matter physics and bio-inspired engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
101
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Surprising simplicity in the modeling of dynamic granular intrusion
61 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Massachusetts Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago