Similar to the long-term discussion on how much innate structure is required for artificial general intelligence , an important challenge in the short-term lies in the combination of traditional programming and machine learning for more narrow applications e.g. towards more efficient, robust, and safe robots. The question about the limitations or benefits of increased prior [...]
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So far Markus Wulfmeier has created 4 blog entries.
Abstract— This paper describes a probabilistic framework for appearance based navigation and mapping using spatial and visual appearance data. Like much recent work on appearance based navigation we adopt a bag-of-words approach in which positive or negative observations of visual words in a scene are used to discriminate between already visited and new places. [...]
Abstract— Understanding and analysing static or mobile surveillance cameras often requires knowledge of the scene and the camera placement. In this article, we provide a way to simplify the user’s task of understanding the scene by rendering the camera view as if observed from the user’s perspective by estimating his position using a real-time visual [...]
Abstract—This paper presents a novel way to bias the sampling domain of stochastic planners by learning from example plans. We learn a generative model of a planner as a function of proximity to labeled objects in the workspace. Our motivation is that certain objects in the workspace have a local influence on planning strategies, which [...]