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Found 5 papers, 1 papers with code
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
Artificial intelligence (AI) techniques are widely applied in the life sciences.
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Motivated by the need to address the security concerns in AI-Robotics systems, this paper presents a comprehensive survey and taxonomy across three dimensions: attack surfaces, ethical and legal concerns, and Human-Robot Interaction (HRI) security.
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Results show that the proposed image segmentation and planning methods outperform conventional planning algorithms in terms of the quality and feasibility of the initial path, as well as the quality of replanned paths.
Neural Variational Learning for Grounded Language Acquisition
We propose a learning system in which language is grounded in visual percepts without specific pre-defined categories of terms.
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Ordering the selection of training data using active learning can lead to improvements in learning efficiently from smaller corpora.
