RDP 056: ROS SLAM Toolbox by Steve Macenski
The Construct Robotics Institute 37:46
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Check the shownotes here: https://www.theconstructsim.com/the-ros-slam-toolbox-by-steve-macenski/
It is my pleasure to introduce you Steve Macenski. Steve is open source robotics engineer lead at Samsung Research America. Before leading the open source robotics group at Samsung Research, he led the robotics team at Simbe Robotics building fully-autonomous store-auditing robot solutions. At present, He is the primary maintainer and developer of several ROS2 packages like Navigation2, Robot localisation and today’s subject of the podcast, Slam Toolbox. He is also a member of the ROS2 Technical Steering Committee. He is going to talk today about his Slam Toolbox package among other things.
00:00 Introduction
07:16 What is slam_toolbox
13:22 What is the Status for slam_toolbox (works for ROS1 or ROS2 or both?)
15:20 Mapping Modes (synchronous and asynchronous)
18:12 Lifelong Mapping
1:28 Localization Algorithm in ROS2
21:05 Manual Photo Editing node of Map is possible?
26:19 Multi-robot Applying
26:54 Performance Measurement of the Localization System
31:14 Real Robot using slam_toolbox
It is my pleasure to introduce you Steve Macenski. Steve is open source robotics engineer lead at Samsung Research America. Before leading the open source robotics group at Samsung Research, he led the robotics team at Simbe Robotics building fully-autonomous store-auditing robot solutions. At present, He is the primary maintainer and developer of several ROS2 packages like Navigation2, Robot localisation and today’s subject of the podcast, Slam Toolbox. He is also a member of the ROS2 Technical Steering Committee. He is going to talk today about his Slam Toolbox package among other things.
00:00 Introduction
07:16 What is slam_toolbox
13:22 What is the Status for slam_toolbox (works for ROS1 or ROS2 or both?)
15:20 Mapping Modes (synchronous and asynchronous)
18:12 Lifelong Mapping
1:28 Localization Algorithm in ROS2
21:05 Manual Photo Editing node of Map is possible?
26:19 Multi-robot Applying
26:54 Performance Measurement of the Localization System
31:14 Real Robot using slam_toolbox
Category (YouTube): Science & Technology
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