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Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
Deep Reinforcement Learning (DRL) enables robots to perform some intelligent tasks end-to-end.
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
In this framework, the depth and pose estimations are hierarchically and mutually coupled to refine the estimated pose layer by layer.
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding
Recent research on Simultaneous Localization and Mapping (SLAM) based on implicit representation has shown promising results in indoor environments.
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding
To address this, we propose EMIE-MAP, a novel method for large-scale road surface reconstruction based on explicit mesh and implicit encoding.
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