Vaibhav Bisht

Papers

Total Citations

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About

Vaibhav Bisht is a rising researcher at the intersection of cyber-physical systems and human-autonomous teaming, with a focus on developing robust testbeds for artificial intelligence. His most cited work, "RealTHASC—a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations" (2023), directly tackles a critical bottleneck in the field: the lack of high-fidelity, controllable environments for validating AI algorithms. By creating an extended reality (XR) testbed that bridges the gap between sterile lab simulations and unpredictable field experiments, Bisht provides a crucial platform for generating detailed ground truth data. This contribution is foundational for advancing research in human-robot collaboration, enabling safer and more reliable AI-driven perception and decision-making. Though early in his career, with his flagship paper already garnering 5 citations, Bisht’s work is establishing a new standard for experimental rigor in autonomous systems research, positioning him as a key innovator in the development of trustworthy human-AI teams.