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Vertiencoder: Self-supervised kinodynamic representation learning on vertically challenging terrain
We present VertiEncoder, a self-supervised representation learning approach for robot
mobility on vertically challenging terrain. Using the same pre-training process, VertiEncoder …
mobility on vertically challenging terrain. Using the same pre-training process, VertiEncoder …
Top-nav: Legged navigation integrating terrain, obstacle and proprioception estimation
Legged navigation is typically examined within open-world, off-road, and challenging
environments. In these scenarios, estimating external disturbances requires a complex …
environments. In these scenarios, estimating external disturbances requires a complex …
Lift, splat, map: Lifting foundation masks for label-free semantic scene completion
Autonomous mobile robots deployed in urban environments must be context-aware, ie, able
to distinguish between different semantic entities, and robust to occlusions. Current …
to distinguish between different semantic entities, and robust to occlusions. Current …
Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments
We present a novel autonomous robot navigation algorithm for outdoor environments that is
capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav …
capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav …
Teaching Robots to" Get It Right"
J Biswas - The International FLAIRS Conference Proceedings, 2024 - journals.flvc.org
We are interested in building and deploying service mobile robots to assist with arbitrary end-
user tasks in everyday environments. In such open-world settings, how can we ensure that …
user tasks in everyday environments. In such open-world settings, how can we ensure that …