Ryan Gupta

The University of Texas at Austin

Papers

2

Total Citations

8

H-Index

2

About

Ryan Gupta is a leading researcher in multi-robot systems and autonomous service robotics, with a focus on resilient coordination and real-world deployment. His most influential work, the CONCERTS algorithm (2022, 4 citations), introduces a novel coverage competency-based path-planning approach for heterogeneous robot teams conducting target searches in both indoor and outdoor environments. This failure-resilient framework significantly improves search completion times under realistic, dynamic conditions, addressing critical gaps in multi-robot collaboration. Gupta’s contributions extend to the RoboCup@Home domain, where his 2019 team report (4 citations) details the integration of diverse AI technologies—from perception to task planning—into a fully autonomous service robot. This work not only advanced the state of the art in domestic robotics but also demonstrated how competition-driven challenges can accelerate progress in human-robot interaction and system integration. With a growing citation impact, Gupta’s research is shaping the future of resilient, team-based robotic systems, making him a key figure for students and researchers interested in practical multi-agent coordination and service robot autonomy.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
CONCERTS: Coverage Competency-Based Target Search for Heterogeneous Robot Teams
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago