Robotics dexterous grasping: The methods based on point cloud and deep learning

H Duan, P Wang, Y Huang, G Xu, W Wei… - Frontiers in …, 2021 - frontiersin.org
Dexterous manipulation, especially dexterous grasping, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …

Towards Human-in-the-Loop Shared Control for Upper-Limb Prostheses: A Systematic Analysis of State-of-the-Art Technologies

W Guo, W Xu, Y Zhao, X Shi, X Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dexterous prosthetic hand is an essential rehabilitation assistant device to improve the life
quality of amputee patients. Despite the continuous emergence of commercial prostheses …

Affordance detection for task-specific grasping using deep learning

M Kokic, JA Stork, JA Haustein… - 2017 IEEE-RAS 17th …, 2017 - ieeexplore.ieee.org
In this paper we utilize the notion of affordances to model relations between task, object and
a grasp to address the problem of task-specific robotic grasping. We use convolutional …

Manipulation for self-identification, and self-identification for better manipulation

K Hang, WG Bircher, AS Morgan, AM Dollar - Science robotics, 2021 - science.org
The process of modeling a series of hand-object parameters is crucial for precise and
controllable robotic in-hand manipulation because it enables the mapping from the hand's …

Pre-grasp sliding manipulation of thin objects using soft, compliant, or underactuated hands

K Hang, AS Morgan, AM Dollar - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
We address the problem of pregrasp sliding manipulation, which is an essential skill when a
thin object cannot be directly grasped from a flat surface. Leveraged on the passive …

A multi-level optimization framework for simultaneous grasping and motion planning

S Zimmermann, G Hakimifard, M Zamora… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
We present an optimization framework for grasp and motion planning in the context of
robotic assembly. Typically, grasping locations are provided by higher level planners or as …

Object placement planning and optimization for robot manipulators

JA Haustein, K Hang, J Stork… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
We address the problem of planning the placement of a rigid object with a dual-arm robot in
a cluttered environment. In this task, we need to locate a collision-free pose for the object …

Manipulation trajectory optimization with online grasp synthesis and selection

L Wang, Y Xiang, D Fox - arXiv preprint arXiv:1911.10280, 2019 - arxiv.org
In robot manipulation, planning the motion of a robot manipulator to grasp an object is a
fundamental problem. A manipulation planner needs to generate a trajectory of the …

Evaluation and selection of grasp quality criteria for dexterous manipulation

H Mnyussiwalla, P Seguin, P Vulliez… - Journal of Intelligent & …, 2022 - Springer
The development of algorithms capable of automatically generating optimal grasp involves
first of all the necessity to define the notion of optimal grasp in relation to the target task. To …

The state of lifelong learning in service robots: Current bottlenecks in object perception and manipulation

SH Kasaei, J Melsen, F van Beers, C Steenkist… - Journal of Intelligent & …, 2021 - Springer
Abstract Service robots are appearing more and more in our daily life. The development of
service robots combines multiple fields of research, from object perception to object …