Meghana Sagare — accepted AI-conference papers

2026

Bio-Inspired Tail Oscillation Enables Fast Crawling on Deformable Granular Terrains

Shipeng Liu, Meghana Sagare, Shubham Patil, Feifei Qian

ICRA 2026poster

Deformable substrates such as sand and mud present significant challenges for terrestrial robots due to complex robot-terrain interactions. Inspired by mudskippers, amphibious animals that naturally adjust their tail morphology and movement jointly to navigate such environments, we investigate how t…

Cited by 0 Scholar ↗

2024

Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell

Omey M. Manyar, Hantao Ye, Meghana Sagare, Siddharth Mayya, Fan Wang, Satyandra K. Gupta

IROS 2024poster

Bin-packing is an important problem in the robotic warehouse domain. Traditionally, this problem has been studied only for rigid packages (e.g., boxes or rigid objects). In this work, we tackle the problem of bin-packing with deformable packages that have become a popular choice for fulfillment need…

Cited by 1 Source ↗Scholar ↗