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40:31
[Paulo Fisch Ph.D. Proposal] Advancing Spacecraft Autonomy
1:16:10
Optimal Control (CMU 16-745) 2025 Lecture 24: Data-Driven Control and Behavior Cloning
1:12:10
Optimal Control (CMU 16-745) 2025 Lecture 23: Autonomous Driving and Game Theory
1:14:40
Optimal Control (CMU 16-745) 2025 Lecture 22: Convex Relaxation and Landing Rockets
1:17:59
Optimal Control (CMU 16-745) 2025 Lecture 21: Kalman Filters and Duality
1:01:01
Optimal Control (CMU 16-745) 2025 Lecture 20: How to Walk
1:02:00
Optimal Control (CMU 16-745) 2025 Lecture 19: Stochastic Optimal Control and LQG
1:11:38
Optimal Control (CMU 16-745) 2025 Lecture 18: Iterative Learning Control
1:12:41
Optimal Control (CMU 16-745) 2025 Lecture 17: Hybrid Systems and Legged Robots
1:05:22
Optimal Control (CMU 16-745) 2025 Lecture 16: LQR with Quaternions and Quadrotors
1:09:11
Optimal Control (CMU 16-745) 2025 Lecture 15: Optimizing Rotations
1:17:42
Optimal Control (CMU 16-745) 2025 Lecture 14: Intro to 3D Rotations
1:17:35
Optimal Control (CMU 16-745) 2024 Lecture 13: Direct Trajectory Optimization
1:03:55
Optimal Control (CMU 16-745) 2025 Lecture 12: Differential Dynamic Programming
1:16:58
Optimal Control (CMU 16-745) 2025 Lecture 11: Nonlinear Trajectory Optimization
1:15:56
Optimal Control (CMU 16-745) 2025 Lecture 10: Convex Model-Predictive Control
1:21:27
Optimal Control (CMU 16-745) 2025 Lecture 9: Controllability and Dynamic Programming
1:15:40
Optimal Control (CMU 16-745) 2024 Lecture 8: The Linear Quadratic Regulator Three Ways
1:10:40
Optimal Control (CMU 16-745) 2025 Lecture 7: Deterministic Optimal Control and Pontryagin
1:17:27
Optimal Control (CMU 16-745) 2025 Lecture 6: Regularization, Merit Functions, and Control History
1:18:41
Optimal Control (CMU 16-745) 2025 Lecture 5: Optimization Pt. 3
1:14:44
Optimal Control (CMU 16-745) 2025 Lecture 4: Optimization Pt. 2
1:16:09
Optimal Control (CMU 16-745) 2025 Lecture 3: Optimization Pt. 1
1:13:36
Optimal Control (CMU 16-745) 2025 Lecture 2: Equilibria, Stability, and Discrete-Time Dynamics
1:15:47
Optimal Control (CMU 16-745) 2025 Lecture 1: Intro and Dynamics Review
3:54
CAPO: Control and Actuator Placement Optimization for Large-Scale Problems with Nonlinear Dynamics
50:01
[Kevin Tracy Ph.D. Defense] Differentiable Convex Modeling for Robotic Motion Planning and Control
1:18:17
[Swami Gurumurthy Ph.D. Proposal] Algorithms and Architectures for Improving Optimization Layers
57:52
[Arun Bishop Speaking Qual] Leveraging Parallelism to Accelerate Quadratic Program Solvers for MPC
27:06
[Sam Schoedel MSR Talk] Model Predictive Control on Resource-Constrained Robots
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