Survey of learning-based approaches for robotic in-hand manipulation

AI Weinberg, A Shirizly, O Azulay… - Frontiers in Robotics and …, 2024 - frontiersin.org
Human dexterity is an invaluable capability for precise manipulation of objects in complex
tasks. The capability of robots to similarly grasp and perform in-hand manipulation of objects …

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 map** from the hand's …

Direct Self-Identification of Inverse Jacobians for Dexterous Manipulation Through Particle Filtering

JT Grace, P Chanrungmaneekul… - … on Robotics and …, 2024 - ieeexplore.ieee.org
The ability to plan and control robotic in-hand manipulation is challenged by several issues,
including the required amount of prior knowledge of the system and the sophisticated …

Object-agnostic dexterous manipulation of partially constrained trajectories

AS Morgan, K Hang, AM Dollar - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
We address the problem of controlling a partially constrained trajectory of the manipulation
frame–an arbitrary frame of reference rigidly attached to the object–as the desired motion …

Task-level dexterous manipulation with multifingered hand under modeling uncertainties

A Caldas, M Grossard… - Journal of …, 2022 - asmedigitalcollection.asme.org
This article presents an approach to efficiently control grippers/multifingered hands for
dexterous manipulation according to a task, ie, a predefined trajectory in the object space …

Object manipulation based on tactile information

AF Montaño Sarria - 2021 - upcommons.upc.edu
In-hand dexterous manipulation of an object is the ability to change the configuration
(position and/or orientation) of an object held in the hand. This is an ability that has allowed …