Nishant Mahavar
Papers
1
Total Citations
2
H-Index
1
About
Nishant Mahavar is a robotics researcher whose work centers on the intersection of teleoperation, edge computing, and human-robot interaction. His primary research area explores the feasibility and optimization of split-control architectures for bilateral teleoperation, where computational tasks are distributed between local and edge-based systems to enhance performance and reduce latency. In his most cited work, "Towards Characterizing Feasibility of Edge Driven Split-Control in Bilateral Teleoperation of Robots" (2024, 2 citations), Mahavar provides foundational insights into how edge-driven control can enable more responsive and stable teleoperation of robots, particularly in scenarios requiring real-time feedback and remote manipulation. This contribution is critical for advancing applications in hazardous environments, remote surgery, and industrial automation. While still early in his career, Mahavar's research demonstrates a clear focus on bridging theoretical control challenges with practical, scalable solutions. His work is notable for its systematic characterization of trade-offs in split-control systems, offering a roadmap for future innovations in networked robotics. As the field of edge robotics grows, Mahavar's findings are poised to influence both academic research and real-world deployments.
Research Focus
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Top Papers
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