dLabRoboticsMIT
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Supernumerary Robotic Limbs to Support Post Fall Recoveries for Astronauts - ICRA 2024
dLabRoboticsMIT
446 views • 1 month ago
2:53
Two-Body Bot Demonstration
dLabRoboticsMIT
686 views • 3 months ago
2:29
Handle Anywhere: A Mobile Robot Arm for Providing Bodily Support to Elderly Persons
dLabRoboticsMIT
164 views • 9 months ago
2:12
Supernumerary Robotic Limbs for Next Generation Space Suit Technology - ICRA 2023
dLabRoboticsMIT
1.6K views • 11 months ago
51:41
Nicholas Selby PhD Defense
dLabRoboticsMIT
710 views • 2 years ago
47:13
Rachel Hoffman-Bice Thesis Defense
dLabRoboticsMIT
331 views • 3 years ago
1:21:28
Lecture 25 Dual Faceted Linearization with Application to Nonlinear Model Predictive Control
dLabRoboticsMIT
625 views • 3 years ago
1:24:12
Lecture 23: Gaussian Processes
dLabRoboticsMIT
952 views • 3 years ago
1:02:42
Lecture 22: Support Vector Machines and Kernel Methods
dLabRoboticsMIT
586 views • 3 years ago
1:33:24
Lecture 21: Deep Learning with CNN and RNN
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738 views • 3 years ago
1:25:11
Lecture 20: Neural Networks and Error Backpropagation
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845 views • 3 years ago
1:24:50
Lecture 19: Nonlinear Function Approximation
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1.3K views • 3 years ago
1:29:51
Lecture 18: MOESP and N4SID
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3.9K views • 3 years ago
1:25:58
Lecture 17: Subspace Methods for System Identification
dLabRoboticsMIT
6K views • 3 years ago
1:23:19
Lecture 16: Unbiased Identification
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643 views • 3 years ago
1:22:02
Lecture 14: Parametric Linear System Identification
dLabRoboticsMIT
2.7K views • 3 years ago
1:22:51
Lecture 15: Asymptotic Distribution of Parameter Estimates
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1.3K views • 3 years ago
1:29:21
Lecture 13: Non Parametric Linear System Identification
dLabRoboticsMIT
3.3K views • 3 years ago
1:20:02
Lecture 12: Particle Filter
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3.9K views • 3 years ago
1:38:03
Lecture 8: Continuous Time Kalman Filter
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3.8K views • 3 years ago
1:24:08
Lecture 6: Partial Least Squares Regression
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18K views • 3 years ago
1:26:57
Lecture 11: Simultaneous Localization and Mapping (SLAM)
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2.3K views • 3 years ago
1:21:49
Lecture 10: Bayes Filter
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1.7K views • 3 years ago
1:32:11
Lecture 7: Discrete Time Kalman Filter
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6.2K views • 3 years ago
1:22:06
Lecture 9: Extended Kalman Filter and Unscented Kalman Filter
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12K views • 3 years ago
1:24:12
Lecture 5: Principal Component Regression
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2.2K views • 3 years ago
1:23:18
Lecture 3: Recursive Least Squares with Forgetting Factor
dLabRoboticsMIT
7.6K views • 3 years ago
1:27:05
Lecture 1: Introduction to Identification, Estimation, and Learning
dLabRoboticsMIT
7.5K views • 3 years ago
1:30:58
Lecture 4: Random Variables and Random Processes
dLabRoboticsMIT
1.7K views • 3 years ago
1:18:19
Lecture 2: Least Squares
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3.4K views • 3 years ago
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