Convex Hulls of Reachable Sets
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Project Page / Paper / Code - We study the structure of convex hulls of reachable sets of nonlinear systems (dx/dt=f(x)+g(x)w).
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Project Page / Paper / Code - We study the structure of convex hulls of reachable sets of nonlinear systems (dx/dt=f(x)+g(x)w).
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Project Page / Paper - Unstable systems are difficult to simultaneously learn and control.
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Project Page / Paper - A risk-averse controller that can reason over uncertainty.
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Project Page / Paper / Code - A new SCP trajectory optimization algorithm on manifolds.
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Project Page / Paper - We identify limitations of wheel-soil interaction models and present a new method.
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Project Page / Paper / Launch Video / ARIS website - We propose a control algorithm for a rocket to accurately reach a target apogee.
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Project Page / Paper / Video - How can a drone fly blindly, when all its exteroceptive sensors have failed?
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Project Page / Paper / Code - A learning-based strategy to warm-start trajectory optimization tools.
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Project Page / Paper / Code - We propose an algorithm for chance-constrained trajectory optimization.
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Project Page / Paper / Video / Code - New efficient sampling-based reachability analysis algorithms.
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Project Page / Paper - We propose a CBF formulation that accounts for delays.
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Project Page / Paper / CoSTAR-NeBula website - We present the algorithms, hardware, and software architecture deployed by the team CoSTAR in the DARPA SubT Challenge.
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Project Page / Paper / Video / More Hardware Results - How can robots safely learn their dynamics?
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Project Page / Paper / Code - We analyze general SCP procedures for continuous-time optimal control.
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Project Page / Paper / Code - We present a data-driven algorithm for efficiently computing stochastic control policies for general joint chance constrained optimal control problems.
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Project Page / Paper / Code / Video - We analyze a sampling-based reachability analysis algorithm.
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Project Page / Paper / Code - A robust sampling-based motion planning algorithm.
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Project Page / Paper / Code - A comprehensive tutorial on convex trajectory optimization.
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Project Page / Paper / Code - We propose a sequential convex programming framework for non-linear finite-dimensional stochastic optimal control.
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Project Page / Paper / Blog Post / Video - We propose an effective strategy for table wiping combining the strengths of reinforcement learning and whole-body trajectory optimization.
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Project Page / Paper / Code - A sample-based approach to risk-averse trajectory optimization.
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Project Page / Paper / Presentation / Code - We give a finite-dimensional characterization of the convex hulls of reachable sets of nonlinear systems (dx/dt=f(x)+w).
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Project Page / Paper / Code - We revisit the sample average approximation (SAA) approach for general non-convex stochastic programming and apply the method to stochastic optimal control problems.
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Project Page / Paper / Code - We study the problem of estimating the convex hull of the image of a compact set with smooth boundary.
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Project Page / Paper - A multimodal diffusion-based vehicle model for MPC.