Despite all the breakthroughs in the world of robotics, we still seem to be some way off the kind of advanced robots that can autonomously carry out a variety of tasks in unstructured and cluttered environments.
One of the key bottlenecks holding back the development of such next-generation robots is how robots perceive the data gathered from their various sensors. Willow Garage, the Californian robotics company behind the PR2 open platform robot, has teamed up with the National Institute of Standards and Technology (NIST) to launch an international “perception challenge” with the goal of encouraging improvements to sensing and perception technologies for next-generation robots.
Willow Garage and NIST see robust robotic perception as a core enabling technology for robots that can be used more complicated applications such as in-home assistance for the elderly, search-and-rescue operations and advanced manufacturing. For such applications robots need to be able to reliably identify objects and determine their position accurately.
To this end, the Perception Challenge will ask competitors to develop code to recognize the identity and pose of 50 common objects, of which 35 will be known beforehand. The code will need to run with the open source ROS (Robot Operating System) on a PR2 robot that has been fitted with a Kinect sensor. So the contestants don’t have to learn ROS, they will be provided with a code stub that will provide the 2D image and 3D point cloud data captured with the Kinect sensors.
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