'Robot pose' presentation slideshows

SLAM/FastSLAM

Advanced Mobile Robotics. Probabilistic Robotics:. SLAM/FastSLAM. Dr. J izhong Xiao Department of Electrical Engineering CUNY City College jxiao@ccny.cuny.edu. Probabilistic Robotics. SLAM/FastSLAM. SLAM Problem : Chicken or Egg. Fundamental problems for localization and mapping.

1.93k views • 84 slides

SLAM: Robotic Simultaneous Location and Mapping

SLAM: Robotic Simultaneous Location and Mapping. With a great deal of acknowledgment to Sebastian Thrun. SLAM Lecture Outline. SLAM Robot Motion Models Robot Sensing and Localization Robot Mapping. The SLAM Problem. SLAM stands for simultaneous localization and mapping

1.33k views • 67 slides

Probabilistic Robotics

Probabilistic Robotics. FastSLAM. The SLAM Problem. Simultaneous Localization and Mapping. The task of building a map while estimating the pose of the robot relative to this map.

783 views • 55 slides

Harsha Kikkeri, Gershon Parent, Mihai Jalobeanu, and Stan Birchfield Microsoft Robotics

Harsha Kikkeri, Gershon Parent, Mihai Jalobeanu, and Stan Birchfield Microsoft Robotics. An Inexpensive Method for Evaluating the Localization Performance of a Mobile Robot Navigation System. Motivation. Goal: Automatically measure performance of mobile robot navigation system Purpose:

1.1k views • 38 slides

554 views • 38 slides

Particle Filtering

Particle Filtering. Sensors and Uncertainty. Real world sensors are noisy and suffer from missing data (e.g., occlusions, GPS blackouts) Use sensor models to estimate ground truth, unobserved variables, make forecasts. X 0. X 1. X 2. X 3. Hidden Markov Model.

289 views • 21 slides