Papers
6
Total Citations
17
H-Index
3
About
Vismay Vakharia is an emerging robotics researcher whose work sits at the intersection of teleoperation, shared autonomy, and human-robot interaction. His research primarily addresses two of the field's most persistent challenges: compensating for network-induced delays in remote robotic systems and reducing cognitive burden on human operators through intelligent assistive control. Vakharia's most influential contribution, a 2021 paper garnering six citations, introduced an improved model-free predictor that adaptively adjusts to varying network delays in telerobotic applications — a meaningful advance over existing static approaches. Building on this foundation, he has developed model-mediated delay compensation strategies that incorporate goal prediction, enabling smoother and more intuitive shared control between operators and robotic arms. More recently, his research has expanded into practical deployment scenarios, particularly retail automation. His work on omnidirectional dual-arm mobile manipulation systems — integrating novel soft grippers, augmented reality interfaces, and Model Predictive Control-based shared autonomy — demonstrates a commitment to translating theoretical advances into real-world robotic applications. The ATMAS framework, combining AR markers with adaptive control switching, exemplifies his focus on making teleoperation more accessible and effective for non-expert operators. Across roughly 17 total citations, Vakharia is steadily establishing himself as a thoughtful contributor to applied robotics research.
Research Focus
Key Achievements
Top Papers
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