cpaxton.github.io

Chris Paxton · Robotics: Learning, Planning, and Collaborating with Humans

PhD Candidate at Johns Hopkins University. Anyone interested in CoSTAR: you can look up an early version of this material here. It’s a description of how we designed the system and the various issues we ran into when building our framework for end-user instruction of industrial robots. As of today, CoSTAR’s Instructor UI is available on GitHub. You can also find it with the rest of our project. Getting started with Git. Let’s get started. On Ubuntu you can install git like so:. Sudo apt-get install git.

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Chris Paxton · Robotics: Learning, Planning, and Collaborating with Humans | cpaxton.github.io Reviews

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PhD Candidate at Johns Hopkins University. Anyone interested in CoSTAR: you can look up an early version of this material here. It’s a description of how we designed the system and the various issues we ran into when building our framework for end-user instruction of industrial robots. As of today, CoSTAR’s Instructor UI is available on GitHub. You can also find it with the rest of our project. Getting started with Git. Let’s get started. On Ubuntu you can install git like so:. Sudo apt-get install git.

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1 chris paxton

2 about me

3 papers

4 for students

5 github

6 google play

7 youtube

8 costar paper

9 costar instructor

10 or this one

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Chris Paxton · Robotics: Learning, Planning, and Collaborating with Humans | cpaxton.github.io Reviews

https://cpaxton.github.io

PhD Candidate at Johns Hopkins University. Anyone interested in CoSTAR: you can look up an early version of this material here. It’s a description of how we designed the system and the various issues we ran into when building our framework for end-user instruction of industrial robots. As of today, CoSTAR’s Instructor UI is available on GitHub. You can also find it with the rest of our project. Getting started with Git. Let’s get started. On Ubuntu you can install git like so:. Sudo apt-get install git.

INTERNAL PAGES

cpaxton.github.io

1

About Me · Chris Paxton

http://cpaxton.github.io/about

PhD Candidate at Johns Hopkins University. I am a graduate student at Johns Hopkins University, studying robotics and human/robot interaction. In particular, I am interested in ways we can allow non-expert users to give robots the knowledge they need to be able to plan and adapt to new environments. Effectively, I am interested in making robots into true co-workers that can do the parts of a task that are difficult for humans. Stealth startup: planning for autonomous vehicles. Taught EN.500.111 H...The f...

2

For Students · Chris Paxton

http://cpaxton.github.io/students

PhD Candidate at Johns Hopkins University. Some quick guides for people getting started with code I’ve written. Getting Started with Git.

3

CoSTAR Instructor · Chris Paxton

http://cpaxton.github.io/2016/12/01/instructor

PhD Candidate at Johns Hopkins University. As of today, CoSTAR’s Instructor UI is available on GitHub. You can also find it with the rest of our project. Updates to CoSTAR 03 Mar 2017. CoSTAR on the DVRK 02 Feb 2017. CoSTAR Paper 12 Dec 2016.

4

CoSTAR Paper · Chris Paxton

http://cpaxton.github.io/2016/12/12/cite

PhD Candidate at Johns Hopkins University. Anyone interested in CoSTAR: you can look up an early version of this material here. It’s a description of how we designed the system and the various issues we ran into when building our framework for end-user instruction of industrial robots. Updates to CoSTAR 03 Mar 2017. CoSTAR on the DVRK 02 Feb 2017. CoSTAR Instructor 01 Dec 2016.

5

Chris Paxton · Robotics: Learning, Planning, and Collaborating with Humans

http://cpaxton.github.io/page2

PhD Candidate at Johns Hopkins University. Building a Behavior Tree with CoSTAR. CoSTAR is a framework we have been developing for authoring robot task plans. It is still very much a work in progress, but we are excited about how well it is coming a long. CoSTAR Structure Assembly Videos. CoSTAR continues to improve as a system. One of our recent tests was to run a lot of repeated evaluations of our vision system in a structure assembly task. In the end, our trials went very well: 10/10 node-link...The r...

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People – CIRL

http://cirl.lcsr.jhu.edu/people

Robotics & Perception. JIGSAWS: Surgical Training Dataset. JHU Visual Perception Datasets. Gregory D. Hager, Ph.D. Emod Boctor, Ph.D. Noah Cowen, Ph.D. Russell Taylor, Ph.D. Peter Kazanzides, Ph.D. Rene Vidal, Ph.D. Sanjeev Khudanpur, Ph.D. Louis Whitcomb, Ph.D. Nassir Navab, Ph.D. Jeffrey Siewerdsen, Ph.D. Marin Kobilarov, Ph.D. Grace Chen, M.D. Gyusung Lee, Ph.D. Lisa Ishii, M.D. Masaru Ishii, M.D., Ph.D.,. Gary Gallia, M.D., Ph.D. Michael Marohn, M.D. Darius Burschka, Ph.D. Allison Okamura, Ph.D.

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cpaxton.github.io

Chris Paxton · Robotics: Learning, Planning, and Collaborating with Humans

PhD Candidate at Johns Hopkins University. Anyone interested in CoSTAR: you can look up an early version of this material here. It’s a description of how we designed the system and the various issues we ran into when building our framework for end-user instruction of industrial robots. As of today, CoSTAR’s Instructor UI is available on GitHub. You can also find it with the rest of our project. Getting started with Git. Let’s get started. On Ubuntu you can install git like so:. Sudo apt-get install git.

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