Smart industrial robot control trends, challenges and opportunities within manufacturing
Industrial robots and associated control methods are continuously develo**. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
Deep learning approaches to grasp synthesis: A review
Gras** is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
Wonder3d: Single image to 3d using cross-domain diffusion
In this work we introduce Wonder3D a novel method for generating high-fidelity textured
meshes from single-view images with remarkable efficiency. Recent methods based on the …
meshes from single-view images with remarkable efficiency. Recent methods based on the …
Diffusion-sdf: Conditional generative modeling of signed distance functions
Probabilistic diffusion models have achieved state-of-the-art results for image synthesis,
inpainting, and text-to-image tasks. However, they are still in the early stages of generating …
inpainting, and text-to-image tasks. However, they are still in the early stages of generating …
[HTML][HTML] A review on reinforcement learning for contact-rich robotic manipulation tasks
Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
Dex-NeRF: Using a neural radiance field to grasp transparent objects
J Ichnowski, Y Avigal, J Kerr, K Goldberg - ar** via dynamic representation of gripper-object interaction
Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis
Expert demonstrations are a rich source of supervision for training visual robotic
manipulation policies, but imitation learning methods often require either a large number of …
manipulation policies, but imitation learning methods often require either a large number of …
Multimodal tactile sensing fused with vision for dexterous robotic housekee**
Q Mao, Z Liao, J Yuan, R Zhu - Nature Communications, 2024 - nature.com
As robots are increasingly participating in our daily lives, the quests to mimic human abilities
have driven the advancements of robotic multimodal senses. However, current perceptual …
have driven the advancements of robotic multimodal senses. However, current perceptual …
Rgb matters: Learning 7-dof grasp poses on monocular rgbd images
General object gras** is an important yet unsolved problem in the field of robotics. Most of
the current methods either generate grasp poses with few DoF that fail to cover most of the …
the current methods either generate grasp poses with few DoF that fail to cover most of the …