Lohit Daksha
Papers
1
Total Citations
2
H-Index
1
About
Lohit Daksha is a robotics researcher whose work focuses on the intersection of teleoperation, edge computing, and control systems. His primary contributions lie in characterizing the feasibility of split-control architectures for bilateral teleoperation, where computational tasks are distributed between local and remote edge nodes to enhance performance and reduce latency. In his most-cited paper, "Towards Characterizing Feasibility of Edge Driven Split-Control in Bilateral Teleoperation of Robots" (2024, 2 citations), Daksha explores how edge-driven frameworks can enable more responsive and stable human-robot interaction, particularly in scenarios requiring real-time feedback. This work addresses critical challenges in telerobotics, such as network delays and computational bottlenecks, offering a pathway toward more efficient and scalable teleoperation systems. While still early in his career, Daksha’s research has the potential to impact fields like remote surgery, hazardous environment exploration, and industrial automation. His findings contribute to a growing body of knowledge on edge computing’s role in robotics, making him a promising voice in the ongoing effort to bridge the gap between cloud-based intelligence and physical robotic control.
Research Focus
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Top Papers
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