HoME is an open-source, OpenAI Gym-compatible platform extensible to tasks in reinforcement learning, language grounding, sound-based navigation, robotics, multi-agent learning.AI2-THOR: Photorealistic Interactive Environments for AI Agents [Link] AI2-THOR is a photo-realistic interactable framework ...
RoboticsArtificial intelligenceComputer science Simulating DuCTT and optimizing control for DuCTT with machine learning UNIVERSITY OF CALIFORNIASAN DIEGO Yoav Freund XydesAlexander LawrenceAir duct inspection frequently requires mobile robots to visit areas inaccessible to humans. Tensegrity robots, with their...
Research Data from Virginia Polytechnic Institute and State University (Virginia Tech) Update Understanding of Machine Learning (Transport Properties of Oil-co2... - 《Robotics & Machine Learning Daily News》 被引量: 0发表: 2024年 Open Digital Libraries Virginia Polytechnic Institute and State Universi...
Classification Results Based on Classical Machine Learning Tables 6, 7, 8 and 9 display the classification effects of the CML model on the benchmark datasets using 0.4&0.5 cross-validation. Results on Publically Available (Chinese Hospital Dataset) The classification results on UCSD-AI4H/COVID-CT...
MILE: Model-Based Imitation Learning for Urban Driving [Notes] NeurIPS 2022 [Alex Kendall] PaLM-E: An embodied multimodal language model [Notes] [Google Robotics] VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models [Notes] [Feifei Li] CaP: Code as Policies: Language...
His interests are in the areas of machine learning, computer architecture, and robotics. Ilkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center, UCSD. She is the founder and director for the Workflows for Data Science Center of Excellence. She has worked on ...
brings together researchers in developmental psychology, machine learning, neuroscience, computer vision and robotics. Basically we are trying to understand the computational problems that a baby's brain faces when learning to move its own body and use it to interact with the physical and social ...
In systems of this kind, the machine is tasked with discovering behaviors that result in the greatest reward, an approach which is particularly applicable to robotics and tasks like learning to play a board game in which it is possible to explicitly define the characteristics of a successful ...
A Roadmap for US Robotics-From Internet to Robotics.https://doi.org/jacobsschool.ucsd.edu/contextualrobotics/docs/rm3-final-rs.pdf. National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0).https://doi.org/www.nsf.gov/pubs/2017/nsf17518/nsf17518.htm. ...
Fungal pathogens pose a global threat to human health, with Candida albicans among the leading killers. Systematic analysis of essential genes provides a powerful strategy to discover potential antifungal targets. Here, we build a machine learning model