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Charles Dawson

Massachusetts Institute of Technology

RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling

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Apr 04, 2024
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Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning

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Feb 14, 2024
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Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges

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Nov 22, 2023
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A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling

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Sep 14, 2023
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Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions

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Feb 23, 2023
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Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments

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Jan 31, 2023
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Barrier functions enable safety-conscious force-feedback control

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Sep 25, 2022
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Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields

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Sep 25, 2022
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Certifiable Robot Design Optimization using Differentiable Programming

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Apr 22, 2022
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Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic

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Mar 03, 2022
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