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#292: Robot Operating System (ROS) & Gazebo, with Brian Gerkey


In this episode, Audrow Nash interviews Brian Gerkey, CEO of Open Robotics about the Robot Operating System (ROS) and Gazebo. Both ROS and Gazebo are open source and are widely used in the robotics community. ROS is a set of software libraries and tools, and Gazebo is a 3D robotics simulator. Gerkey explains ROS and Gazebo and talks about how they are used in robotics, as well as some of the design decisions of the second version of ROS, ROS2.

Brian Gerkey

Brian Gerkey is the CEO of Open Robotics, which seeks to develop and drive the adoption of open source software in robotics. Before Open Robotics, Brian was the Director of Open Source Development at Willow Garage, a computer scientist in the SRI Artificial Intelligence Center, a post-doctoral scholar in Sebastian Thrun‘s group in the Stanford Artificial Intelligence Lab.  Brian did his PhD with Maja Matarić in the USC Interaction Lab.

Links

Piab’s Kenos KCS Gripper

Piab’s Kenos KCS gripper enables a collaborative robot to handle just about anything at any time. Combining Piab's proprietary air-driven COAX vacuum technology with an easily replaceable technical foam that molds itself around any surface or shape, the gripper can be used to safely grip, lift and handle any object. Standard interface (ISO) adapters enable the whole unit to be attached to any cobot type on the market with a body made in a lightweight 3D printed material. Approved by Universal Robots as a UR+ end effector.

Making sense of vision and touch: #ICRA2019 best paper award video and interview

PhD candidate Michelle A. Lee from the Stanford AI Lab won the best paper award at ICRA 2019 with her work “Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks”. You can read the paper on arxiv here.

Audrow Nash was there to capture her pitch.

And here’s the official video about the work.

Full reference
Lee, Michelle A., Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg. “Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks.” arXiv preprint arXiv:1810.10191 (2018).

Why Repeatability and Accuracy are Different in Motion and Positioning Related Applications

The terms accuracy and repeatability are often used interchangeably. However, accuracy is not possible without repeatability, but repeatability is achievable without accuracy. There are other errors, too, non-linearity errors, and linearity errors caused by thermal effects.
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