Preprint2026
EchoWM: Open and Enterable Omnimodal World Models
Unknown
EchoWM is an omnimodal world model that generates 720p video and environmental sound in response to continuous navigation for enterable generative media.
0Aug 1, 2026
arXiv
AI Research
AI & ML Research Papers
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6 papersPreprintRobotica2014
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
Michael Hoy, Alexey S. Matveev, Andrey V. Savkin
This survey reviews collision-free navigation techniques for unmanned vehicles in unknown cluttered environments, focusing on reactive local-sensory-data methods and recent model predictive and sliding mode control laws.
471Mar 4, 2014Attention Mechanisms
Preprint2026
DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation
Yan Deng, Fei Xu
DreamFly introduces causal memory and receding-horizon diffusion planning to improve aerial vision-language navigation, achieving state-of-the-art results on the OpenFly benchmark.
0Aug 12, 2026Diffusion ModelsReasoning
arXiv
Preprint2025
Vr-robo: A real-to-sim-to-real framework for visual robot navigation and locomotion
Unknown
This paper presents a Real-to-Sim-to-Real framework that achieves RGB-only sim-to-real policy transfer for visual robot navigation and locomotion.
0Jan 1, 2025
Preprint2025
Navigation world models
Unknown
This paper demonstrates that world models can leverage exploratory data to plan or improve navigation policies, shifting focus from policy learning to model-based planning.
0Jan 1, 2025
PreprintCognitive Robotics2023
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
This review surveys how AI, ML, and DL are transforming advanced robotics across autonomous navigation, cobots, manufacturing, aviation, and transportation.
1.1kJan 1, 2023Ai Safety