Aditya Rauniyar
SRM Institute of Science and Technology, Carnegie Mellon University
Papers
3
Total Citations
20
H-Index
3
About
Aditya Rauniyar is a robotics researcher advancing the frontiers of multi-robot coordination and manipulation in complex, obstacle-cluttered environments. His work centers on developing decentralized, communication-free strategies for collaborative robotic systems, with a particular focus on Mecanum-wheeled ground robots and aerial drone teams. Rauniyar’s most cited paper, "MeWBots: Mecanum-Wheeled Robots for Collaborative Manipulation in an Obstacle-Clustered Environment Without Communication" (2021, 11 citations), introduces a novel approach enabling multiple robots to work together without explicit data exchange, a critical breakthrough for scenarios where communication is unreliable or impossible. Building on this, his recent work "Greedy Perspectives: Multi-Drone View Planning for Collaborative Perception in Cluttered Environments" (2024, 5 citations) applies submodular maximization and sequential greedy planning to coordinate aerial robots for large-scale filming of dynamic groups—paving the way for innovations in cinematography and team sports analytics. Earlier in his career, Rauniyar contributed to the indigenous design of a multi-link flexible robotic system, focusing on drive and actuator development (2018, 4 citations). His research directly addresses scalability and robustness challenges in real-world robotics, with applications spanning industrial manipulation, autonomous surveillance, and creative industries.
Research Focus
Key Achievements
Top Papers
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