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Material Classification Using Active Temperature Controllable Robotic Gripper
One of the distinguishing features of each object's material is its heat properties, and classification can exploit heat transfer, similarly to human thermal sensation.
Transferable Task Execution from Pixels through Deep Planning Domain Learning
On the other hand, symbolic planning methods such as STRIPS have long been able to solve new problems given only a domain definition and a symbolic goal, but these approaches often struggle on the real world robotic tasks due to the challenges of grounding these symbols from sensor data in a partially-observable world.
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