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宾夕法尼亚大学机器人相关课程

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2018-10-15 00:15:20

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美国宾夕法尼亚大学coursera课程

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苏星河牛通

01_1-1-introduction-to-computational-motion-planning

05:16

01_1-2-grassfire-algorithm

06:17

02_1-3-dijkstras-algorithm

04:48

03_1-4-a-algorithm

07:00

05_getting-started-with-the-programming-assignments

05:15

01_2-1-introduction-to-configuration-space

04:02

02_2-2-rr-arm

02:18

03_2-3-piano-movers-problem

03:04

01_2-4-visibility-graph

03:15

02_2-5-trapezoidal-decomposition

01:23

03_2-6-collision-detection-and-freespace-sampling-methods

04:50

01_3-1-introduction-to-probabilistic-road-maps

06:05

02_3-2-issues-with-probabilistic-road-maps

04:05

01_3-3-introduction-to-rapidly-exploring-random-trees

06:48

01_4-1-constructing-artificial-potential-fields

07:57

02_4-2-issues-with-local-minima

02:08

03_4-3-generalizing-potential-fields

02:19

01_4-4-course-summary

06:40

01_0-0-0-what-you-will-learn-in-this-course

02:15

01_1-0-0-what-you-will-learn-this-week

03:32

01_1-1-1-why-and-how-do-animals-move

10:34

02_1-1-2-bioinspiration

09:04

03_1-1-3-legged-mobility-dynamic-motion-and-the-management-of-energy

17:19

01_1-2-1-review-lti-mechanical-dynamical-systems

26:21

02_1-2-2-introduce-nonlinear-mechanical-dynamical-systems-the-dissipative-pendul

22:52

03_1-2-3-linearization-normal-forms

11:45

01_2-0-0-what-you-will-learn-this-week

04:24

01_2-1-1-walking-like-a-rimless-wheel

15:45

02_2-1-2-running-like-a-spring-loaded-pendulum

11:39

03_2-1-3-controlling-the-spring-loaded-inverted-pendulum

08:43

01_2-2-1-metrics-and-scaling-mass-length-strength

03:46

02_2-2-2-materials-manufacturing-and-assembly

05:18

03_2-2-3-design-figures-of-merit-robustness

03:36

01_2-3-1-actuator-technologies

10:11

01_3-0-0-what-you-will-learn-this-week

05:26

01_3-1-1-review-of-kinematics

07:08

02_3-1-2-introduction-to-dynamics-and-control

15:31

01_3-2-1-sprawled-posture-runners

10:25

02_3-2-2-quadrupeds

06:22

03_3-2-3-bipeds

09:57

01_4-0-0-what-you-will-learn-this-week

04:39

01_4-1-1-sequential-and-parallel-composition

04:51

01_4-2-1-why-is-parallel-hard

08:21

02_supplementary-4-2-2-slip-as-a-parallel-vertical-hopper-and-rimless-wheel

06:53

03_4-2-3a-rhex-a-simple-highly-mobile-biologically-inspired-hexapod-runner

16:08

04_supplementary-4-2-3b-clocked-rhex-gaits

11:55

01_4-3-1-compositions-of-vertical-hoppers

04:16

02_4-3-2-same-composition-different-bodies

08:36

03_4-3-3-same-body-different-compositions

04:07

04_4-3-4-transitions-rhex-jerboa-and-minitaur-leaping

05:39

01_introduction

10:12

02_camera-modeling

10:49

03_single-view-geometry

14:19

04_more-on-perspective-projection

08:10

05_glimpse-on-vanishing-points

10:18

06_perspective-projection-i

14:43

07_perspective-projection-ii

14:32

08_point-line-duality

08:44

09_rotations-and-translations

18:12

10_pinhole-camera-model

10:26

11_focal-length-and-dolly-zoom-effect

08:59

12_intrinsic-camera-parameter

13:04

13_3d-world-to-first-person-transformation

13:42

14_how-to-compute-intrinsics-from-vanishing-points

12:13

15_camera-calibration

11:51

01_vanishing-points-how-to-compute-camera-orientation

23:23

02_compute-projective-transformations

13:18

03_projective-transformations-and-vanishing-points

06:59

04_cross-ratios-and-single-view-metrology

13:58

05_two-view-soccer-metrology

11:02

01_visual-features

23:32

02_singular-value-decomposition

30:17

03_ransac-random-sample-consensus-i

13:17

04_where-am-i-part-1

16:18

05_where-am-i-part-2

13:58

06_pose-from-3d-point-correspondences-the-procrustes-problem

09:43

07_pose-from-projective-transformations

08:39

08_pose-from-point-correspondences-p3p

10:04

01_epipolar-geometry-i

23:03

02_epipolar-geometry-ii

14:21

03_epipolar-geometry-iii

24:54

04_ransac-random-sample-consensus-ii

06:55

05_nonlinear-least-squares-i

03:26

06_nonlinear-least-squares-ii

06:18

07_nonlinear-least-squares-iii

13:52

08_optical-flow-2d-point-correspondences

19:50

09_3d-velocities-from-optical-flow

16:27

10_3d-motion-and-structure-from-multiple-views

18:32

11_visual-odometry

19:51

12_bundle-adjustment-i

17:46

13_bundle-adjustment-ii

18:30

14_bundle-adjustment-iii

17:51

01_course-introduction

03:47

01_week-1-introduction

01:38

02_1-2-1-1d-gaussian-distribution

08:37

03_1-2-2-maximum-likelihood-estimate-mle

06:49

01_1-3-1-multivariate-gaussian-distribution

07:55

02_1-3-2-mle-of-multivariate-gaussian

04:46

01_1-4-1-gaussian-mixture-model-gmm

04:57

02_1-4-2-gmm-parameter-estimation-via-em

07:22

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