rail gatech.edu

RAIL Robot Autonomy and Interactive Learning Lab

Crowdsourced Interactive Task Learning. Plan Recovery through Object Substitution. Reinforcement Learning from Demonstration. Hierarchical Task Learning from Demonstration. Goal State Learning from Demonstrations. Object Recognition and Grasping. The Robot Autonomy and Interactive Learning RAIL. Research lab focuses on the development of robotic systems that operate effectively in complex human environments, adapt to user preferences and learn from user input. Directed by Prof. Sonia Chernova.
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LINKS TO RAIL.GATECH.EDU

Robot Web Tools

Is a collection of open-source modules and tools for building web-based robot apps. Want to see Robot Web Tools in action? Bringing Robots to your Favorite Browser. Using the latest in HTML5. Using the latest in WebGL. Harnessing the power of ROS. More browsers, more robots. Bridging Robots and the Web. Is one of the more popular robot middlewares to build upon.

SURE Program in Robotics SURE Program in Robotics

The SURE Program offers students the opportunity to participate in outings just for fun! Participants tour industry locations related to robotics, including Lockheed Martin.

Peter Mitrano

Pursuing a BS in Computer Science and Robotics Engineering. Research Intern at Georgia Tech. Software Engineer Intern at OSRF. Developer for the FRCSim Project to use the Gazebo robot simulator in FIRST Robotics. Volunteer Software Developer at WPILib. Intern at WPI Robot Autonomy and Interlactive Learning Lab. The goal is to enable people to control the robot online, and.

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RAIL Robot Autonomy and Interactive Learning Lab

DESCRIPTION

Crowdsourced Interactive Task Learning. Plan Recovery through Object Substitution. Reinforcement Learning from Demonstration. Hierarchical Task Learning from Demonstration. Goal State Learning from Demonstrations. Object Recognition and Grasping. The Robot Autonomy and Interactive Learning RAIL. Research lab focuses on the development of robotic systems that operate effectively in complex human environments, adapt to user preferences and learn from user input. Directed by Prof. Sonia Chernova.

PARSED CONTENT

The site rail.gatech.edu states the following, "Plan Recovery through Object Substitution." I noticed that the webpage also stated " Hierarchical Task Learning from Demonstration." They also stated " Goal State Learning from Demonstrations. The Robot Autonomy and Interactive Learning RAIL. Research lab focuses on the development of robotic systems that operate effectively in complex human environments, adapt to user preferences and learn from user input."

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