Betting mechanisms can yield provably more accurate and efficient estimates of real-world robot behavior than Monte Carlo sampling under specified conditions, with practical approximations demonstrated on synthetic data and a robotic manipulator task.
Estimation of particle transmission by random sampling.National Bureau of Standards applied mathematics series, 12:27– 30
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2representative citing papers
Generative VLAs hallucinate physically invalid actions due to topological, precision, and horizon mismatches between model architectures and feasible robot behavior.
citing papers explorer
-
Betting for Sim-to-Real Performance Evaluation
Betting mechanisms can yield provably more accurate and efficient estimates of real-world robot behavior than Monte Carlo sampling under specified conditions, with practical approximations demonstrated on synthetic data and a robotic manipulator task.
-
Action Hallucination in Generative Vision-Language-Action Models
Generative VLAs hallucinate physically invalid actions due to topological, precision, and horizon mismatches between model architectures and feasible robot behavior.