4 accepted papers
High-fidelity 3D generation remains difficult. Although some methods have proposed converting raw meshes to SDFs, it remains a lossy process. TripoSF presented a VAE training paradigm based on a rendering loss to circumvent this lossy SDF conversion, achieving high-precision surface reconstruction. …
Embodied AI has made prominent advances in interactive visual navigation tasks based on deep reinforcement learning. In the pursuit of higher success rates in navigation, previous work has typically focused on training embodied agents to push away interactable objects on the ground. However, such in
Replacing humans with robots for fruit harvesting is the trend of agricultural automation in the future. However, for grape harvesting robots, locating the picking point becomes a significant challenge in highly occluded environments due to the small fruit stem, which can be entirely obscured by fru
In order to improve the operation ability of cleaning robots, this paper proposes a decision method for cleaning robot’s operation mode. Firstly, we use the hierarchical expression ability of deep network to obtain the attributes of garbage such as state, shape, distribution, size and so on. Then th…