Tyler Wild

Papers

Total Citations

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About

Tyler Wild is a researcher in robotics and simulation, whose work centers on the critical intersection of fidelity, validity, and design in robotic systems. His most-cited paper, "Fidelity & Validity in Robotic Simulation" (2015, 9 citations), offers a foundational assessment of how theoretical constructs like realism influence simulation design and evaluation. Through a comprehensive literature review, Wild challenges the assumption that high realism is always the goal, particularly in training contexts, where validity—the degree to which a simulation accurately represents the intended task—often matters more than visual or physical fidelity. This contribution provides a nuanced framework for engineers and researchers designing simulations for robot learning, testing, and operator training. While his citation count reflects a focused, emerging impact, Wild’s work is notable for its conceptual clarity and practical relevance, helping to guide the field away from unnecessary complexity toward more effective, purpose-driven simulation. His research is essential reading for anyone building or evaluating robotic simulators, offering a principled approach to balancing realism with functional accuracy.