Arnav Thareja

University of Washington

Papers

1

Total Citations

3

H-Index

1

About

Arnav Thareja is a robotics researcher whose work centers on multirobot coordination and nonprehensile manipulation—the art of moving objects without grasping them. His most prominent contribution, "PuSHR: A Multirobot System for Nonprehensile Rearrangement" (2023), tackles the complex challenge of using a team of car-like robot pushers to rearrange objects in cluttered environments. This work is notable for its focus on real-world hardware constraints, demonstrating how off-the-shelf components can achieve highly coordinated motion to maintain control of pushed objects while avoiding collisions in tight spaces. Though early in its impact, the paper has already garnered 3 citations, signaling growing interest in practical multirobot manipulation. Thareja’s research bridges the gap between theoretical planning and physical deployment, addressing fundamental problems in logistics, warehouse automation, and domestic robotics. By emphasizing scalable, cost-effective systems, his work offers a blueprint for deploying robot teams in unstructured environments—a critical step toward autonomous rearrangement in factories, homes, and disaster zones. For students and researchers, Thareja’s approach exemplifies how to tackle hard coordination problems with constrained hardware, making his contributions a valuable reference for those exploring multirobot systems and nonprehensile manipulation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
PuSHR: A Multirobot System for Nonprehensile Rearrangement
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago