10 2018 档案

UPenn - Robotics 5:Robotics: Estimation and Learning - week 4:Bayesian Estimation - Localization
摘要：A Here, theta encompasses 270 degrees, not a full circle. Here, theta encompasses 270 degrees, not a full circle. The laser scanner can only see 10 to 阅读全文
posted @ 2018-10-29 09:35 ecoflex 阅读(309) 评论(0) 推荐(0)
UPenn - Robotics 5:Robotics: Estimation and Learning - week 3:Mapping
摘要：building a semantic map requires advanced object recognition techniques which go beyond our scope. But we are most interested in the range sensor it h 阅读全文
posted @ 2018-10-29 02:39 ecoflex 阅读(647) 评论(0) 推荐(0)
UPenn - Robotics 5:Robotics: Estimation and Learning - week 2:Bayesian Estimation - Target Tracking
摘要：The robot will not directly measure X unfortunately, but the robot may observe portions of x through it's sensors. The robot will not directly measure 阅读全文
posted @ 2018-10-28 11:35 ecoflex 阅读(253) 评论(0) 推荐(0)
UPenn - Robotics 5:Robotics: Estimation and Learning - week 1:Gaussian Model Learning
摘要：https://blog.csdn.net/jinshengtao/article/details/81294285 https://www.getit01.com/p2018012421648507/ converge to a local optima 阅读全文
posted @ 2018-10-27 23:46 ecoflex 阅读(200) 评论(0) 推荐(0)
UPenn - Robotics 4:Perception - week 1:Geometry of Image Formation
摘要：quadrotor This is an example of a camera called a Ladybug in two versions of the black and the red one. Which is an array of cameras capturing panoram 阅读全文
posted @ 2018-10-27 12:32 ecoflex 阅读(359) 评论(0) 推荐(0)
UPenn - Robotics 3:Robotics: Mobility - week 4: Composition
摘要：The spring loaded inverted pendulum (SLIP) convex stable concave unstable 阅读全文
posted @ 2018-10-27 11:25 ecoflex 阅读(247) 评论(0) 推荐(0)
UPenn - Robotics 3:Robotics: Mobility - week 3:Anchors: Embodied Behaviors
摘要：If the inertia of leg is reduced, we then dont need the tail for balancing two motors controls the motion of the tail: tail only takes 6% of mass, but 阅读全文
posted @ 2018-10-19 11:22 ecoflex 阅读(230) 评论(0) 推荐(0)
UPenn - Robotics 3:Robotics: Mobility - week 2:Behavioral (Templates) & Physical (Bodies)
摘要：1983 mit quasi-static walking the above examples are with almost no control in computer level!!!!!!!! climb-up robot incompressible COMPRESSIBLE air s 阅读全文
posted @ 2018-10-19 04:48 ecoflex 阅读(212) 评论(0) 推荐(0)
UPenn - Robotics 3:Robotics: Mobility - week 1:Introduction: Motivation and Background
摘要：Soft robots 阅读全文
posted @ 2018-10-19 02:42 ecoflex 阅读(197) 评论(0) 推荐(0)
UPenn - Robotics 2:Computational Motion Planning - week 4: Artificial Potential Field Methods
摘要：The basic idea here is to try to construct a smooth function over the extent of the configuration space, which has high values when the robot is near 阅读全文
posted @ 2018-10-15 11:45 ecoflex 阅读(469) 评论(0) 推荐(0)
UPenn - Robotics 2:Computational Motion Planning - week 3: Probabilistic Road Maps
摘要：https://blog.csdn.net/DinnerHowe/article/details/80267062 1, initialize by random sampling PRM is not Not complete Edge case: only probably complete, 阅读全文
posted @ 2018-10-15 11:19 ecoflex 阅读(320) 评论(0) 推荐(0)
UPenn - Robotics 2:Computational Motion Planning - week 2: Configuration Space
摘要：soft robots????? Trapezoidal Decomposition gird search 阅读全文
posted @ 2018-10-15 07:41 ecoflex 阅读(282) 评论(0) 推荐(0)
UPenn - Robotics 2:Computational Motion Planning - week 1:Introduction and Graph-based Plan Methods
摘要：If you are really interested in the topic of computational motion planning in robotics, here are some related texts: Robot Motion Planning, Jean-Claud 阅读全文
posted @ 2018-10-15 06:51 ecoflex 阅读(376) 评论(0) 推荐(0)
UPenn - Robotics 1:Aerial Robotics - week 4:Advanced Topics
摘要：q estimate position within several mm, and updates at 200Hz Vicon Motion Capture system, please click on this link. https://www.coursera.org/learn/rob 阅读全文
posted @ 2018-10-15 05:15 ecoflex 阅读(494) 评论(0) 推荐(0)
UPenn - Robotics 1:Aerial Robotics - week 3:Planning and Control
摘要：Planning collision-free 阅读全文
posted @ 2018-10-14 12:20 ecoflex 阅读(175) 评论(0) 推荐(0)
UPenn - Robotics 1:Aerial Robotics - week 2:Geometry and Mechanics
摘要：... 阅读全文
posted @ 2018-10-14 03:45 ecoflex 阅读(244) 评论(0) 推荐(0)
UPenn - Robotics 1:Aerial Robotics - week 1:Introduction to Aerial Robotics
摘要：After having starting point, barrirers and destination, how to get a safe trajectory? State estimate: sub milimeter accuracy in lab GPS for large airp 阅读全文
posted @ 2018-10-13 07:25 ecoflex 阅读(335) 评论(0) 推荐(0)