Deep learning approaches to grasp synthesis: A review

R Newbury, M Gu, L Chumbley… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

Diffusion-sdf: Conditional generative modeling of signed distance functions

G Chou, Y Bahat, F Heide - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
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 …

Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

J Urain, N Funk, J Peters… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Multi-objective optimization problems are ubiquitous in robotics, eg, the optimization of a
robot manipulation task requires a joint consideration of grasp pose configurations …

Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes

M Sundermeyer, A Mousavian… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Gras** unseen objects in unconstrained, cluttered environments is an essential skill for
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …

Ok-robot: What really matters in integrating open-knowledge models for robotics

P Liu, Y Orru, J Vakil, C Paxton, NMM Shafiullah… - arxiv preprint arxiv …, 2024 - arxiv.org
Remarkable progress has been made in recent years in the fields of vision, language, and
robotics. We now have vision models capable of recognizing objects based on language …

On bringing robots home

NMM Shafiullah, A Rai, H Etukuru, Y Liu, I Misra… - arxiv preprint arxiv …, 2023 - arxiv.org
Throughout history, we have successfully integrated various machines into our homes.
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …

Maniskill2: A unified benchmark for generalizable manipulation skills

J Gu, F **ang, X Li, Z Ling, X Liu, T Mu, Y Tang… - arxiv preprint arxiv …, 2023 - arxiv.org
Generalizable manipulation skills, which can be composed to tackle long-horizon and
complex daily chores, are one of the cornerstones of Embodied AI. However, existing …