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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 …
A systematic review on cooperative dual-arm manipulators: modeling, planning, control, and vision strategies
The framework of this paper is to present a systematic review of the state-of-the-art
development of cooperative dual-arm manipulators in the industrial and household fields. A …
development of cooperative dual-arm manipulators in the industrial and household fields. A …
Learning high-DOF reaching-and-gras** via dynamic representation of gripper-object interaction
Structdiffusion: Object-centric diffusion for semantic rearrangement of novel objects
Robots operating in human environments must be able to rearrange objects into
semantically-meaningful configurations, even if these objects are previously unseen. In this …
semantically-meaningful configurations, even if these objects are previously unseen. In this …
Structdiffusion: Language-guided creation of physically-valid structures using unseen objects
W Liu, Y Du, T Hermans, S Chernova… - ar** with anthropomorphic robotic hands involves much more hand-object interactions
compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the …
compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the …
Learning continuous 3d reconstructions for geometrically aware gras**
M Van der Merwe, Q Lu… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Deep learning has enabled remarkable improvements in grasp synthesis for previously
unseen objects from partial object views. However, existing approaches lack the ability to …
unseen objects from partial object views. However, existing approaches lack the ability to …
Visual foresight trees for object retrieval from clutter with nonprehensile rearrangement
This letter considers the problem of retrieving an object from many tightly packed objects
using a combination of robotic pushing and gras** actions. Object retrieval in dense …
using a combination of robotic pushing and gras** actions. Object retrieval in dense …
Learning human-like functional gras** for multi-finger hands from few demonstrations
This article investigates the challenge of enabling multifinger hands to perform human-like
functional gras** for various intentions. However, accomplishing functional gras** in …
functional gras** for various intentions. However, accomplishing functional gras** in …
Predicting stable configurations for semantic placement of novel objects
Human environments contain numerous objects configured in a variety of arrangements.
Our goal is to enable robots to repose previously unseen objects according to learned …
Our goal is to enable robots to repose previously unseen objects according to learned …