5 accepted papers
In medical laboratory environments, where pre-cision and safety are critical, the deployment of autonomous robots requires not only accurate object manipulation but also the ability to verify task success to comply with regulatory requirements. This paper introduces a novel imagination-enabled perce
In our previous work, we designed a human-like white-box and causal generative model of perception NaivPhys4RP, essentially based on cognitive emulation to understand the past, the present and the future of the state of complex worlds from poor observations. In this paper, as recommended in that pre
Many of today’s robot perception systems aim at accomplishing perception tasks that are too simplistic and too hard. They are too simplistic because they do not require the perception systems to provide all the information needed to accomplish manipulation tasks. Typically the perception results do…
In this paper, we present an experiment, designed to investigate and evaluate the scalability and the robustness aspects of mobile manipulation. The experiment involves performing variations of mobile pick and place actions and opening/closing environment containers in a human household. The robot i…
Visual robot perception has been challenging to successful robot manipulation in noisy, cluttered and dynamic environments. While some perception systems fail to provide an adequate semantics of the scene, others fail to present appropriate learning models and training data. Another major issue enco…