Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
F Hélénon, J Huber, F Benamar… - 2nd Workshop on Mobile …, 2024 - hal.science
Despite recent advancements in AI for robotics, grasping remains a partially solved
challenge. The lack of benchmarks and reproducibility prevents the development of robots …
challenge. The lack of benchmarks and reproducibility prevents the development of robots …
Dexgangrasp: Dexterous generative adversarial grasping synthesis for task-oriented manipulation
We introduce DexGanGrasp, a dexterous grasp synthesis method that generates and
evaluates grasps with a single view in real-time. DexGanGrasp comprises a Conditional …
evaluates grasps with a single view in real-time. DexGanGrasp comprises a Conditional …
Ffhflow: A flow-based variational approach for multi-fingered grasp synthesis in real time
Synthesizing diverse and accurate grasps with multi-fingered hands is an important yet
challenging task in robotics. Previous efforts focusing on generative modeling have fallen …
challenging task in robotics. Previous efforts focusing on generative modeling have fallen …
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO (3) xR3
Grasping objects successfully from a single-view camera is crucial in many robot
manipulation tasks. An approach to solve this problem is to leverage simulation to create …
manipulation tasks. An approach to solve this problem is to leverage simulation to create …
Transparent Object Depth Completion
Y Zhou, W Peng, Z Yang, H Liu, Y Sun - arXiv preprint arXiv:2405.15299, 2024 - arxiv.org
The perception of transparent objects for grasp and manipulation remains a major
challenge, because existing robotic grasp methods which heavily rely on depth maps are …
challenge, because existing robotic grasp methods which heavily rely on depth maps are …