Jonathan R. LeSage
The University of Texas at Austin, MathWorks (United States)
Papers
3
Total Citations
15
H-Index
2
About
Jonathan R. LeSage is a researcher whose work sits at the critical intersection of robotics, energy systems, and stochastic decision-making. His primary research areas focus on energy-aware autonomy for mobile robotic systems operating in unpredictable, unstructured environments. LeSage’s major contributions lie in developing frameworks to quantify and manage the uncertainty of onboard battery power, directly addressing the gap between theoretical robot capabilities and real-world operational constraints. His most cited work, "Characterization of Load Uncertainty in Unstructured Terrains and Applications to Battery Remaining Run‐time Prediction" (2013, 8 citations), established foundational methods for predicting battery depletion under variable loads. He further advanced the field with "Mission Feasibility Assessment for Mobile Robotic Systems Operating in Stochastic Environments" (2014, 5 citations), which introduced a hierarchical approach to calculate the probability of mission completion. Notably, his 2016 paper on energy storage-aware predictive control demonstrated a novel method to prevent system shutdowns by exploiting the rate-capacity and recovery effects of batteries—a practical solution for preventing mission failure in field robotics. LeSage’s work is essential reading for researchers developing robust, energy-efficient autonomy for long-duration missions.
Research Focus
Key Achievements
Top Papers
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