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iRoPro: An interactive Robot Programming Framework
In fact, teaching robots new actions from scratch that can be reused for previously unseen tasks remains a difficult challenge and is generally left up to robotics experts.
Improving Object Permanence using Agent Actions and Reasoning
Finally, we evaluate the usability of our approach in real-world applications by conducting qualitative experiments with two Universal Robots (UR5 and UR16e) in both lab and industrial settings.
Maintaining a Reliable World Model using Action-aware Perceptual Anchoring
In this paper, we present a model for action-aware perceptual anchoring that enables robots to track objects in a persistent manner.
A Framework for Robot Programming in Cobotic Environments: First user experiments
The increasing presence of robots in industries has not gone unnoticed.
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