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open research in robotics - introducing openEASE
Pizza Making Experiment Demonstrates the Potential of Open Research in Robotics
- Open-EASE is a platform where robots can learn to perform complex tasks faster based on the experiences of other machines
- Users can retrieve memorized episodes and ask queries about what the robot saw, reasoned, and did during that episode – and what effects it caused
- The platform combines “big data” storage with knowledge processing, cloud-based computation, and web technology
- The first elaborate experiment on the platform includes two robots cooperating to make fresh pizza
When human beings hit a tennis ball or perform a similar action, an episodic memory is created. We remember the movement of the arm and how much force we applied. This helps us to not blast the ball over the fence again the next time. Robots can benefit from episodic memories as much as humans – machines learn to perform complicated tasks much faster when they can draw from experiences. To facilitate this process, a platform called Open-EASE was created, where everyone can contribute to a growing database of “robot memories”. The goal: Creating an open research environment where robotics scientists share their work and access data from other researchers, including the option to let their robots communicate directly with the database. Open-EASE was presented at the 2015 IEEE International Conference on Robotics and Automation from May 26-30 in Seattle, where one paper related to the Open-EASE project was awarded the Best Service Robotics Paper
- RoboSherlock: Unstructured Information Processing for Robot Perception Beetz, Michael; Balint-Benczedi, Ferenc; Blodow, Nico; Nyga, Daniel; Wiedemeyer, Thiemo; Marton, Zoltan-Csaba
and a second one was finalist for the Best Cognitive Robotics Paper Award
- Open-EASE – A Knowledge Processing Service for Robots and Robotics/AI Researchers Beetz, Michael; Tenorth, Moritz; Winkler, Jan
Building knowledge on previous research