- Learning Task|Oriented Grasping for Tool Manipulation from ...🔍
- Fostering Benchmarking in Deformable Object Manipulation🔍
- A Survey on Learning|Based Robotic Grasping🔍
- Human|Guided Learning and Benchmarking of Robotic Heap Sorting🔍
- a Functional Manipulation Benchmark for Generalizable Robotic ...🔍
- YCB Benchmarks – Object and Model Set🔍
- Intelligent Soft Hands and Benchmarking towards General|Purpose ...🔍
- Salvatore D'Avella on LinkedIn🔍
Benchmarking Grasping and Manipulation
Learning Task-Oriented Grasping for Tool Manipulation from ...
In practice, however, the end goal of grasping is often to manipulate an object to fulfill a goal-directed task once it has been grasped. When the grasping.
Fostering Benchmarking in Deformable Object Manipulation
This line of work has been extended to the study of simulated grasping of rigid objects with other types of data such as 3D mesh models and grasp annotations.
CFP: Robotic Grasping and Manipulation Challenges and Progress
New perception methods for grasping and dexterous manipulation tasks in unstructured environments; New benchmarks and evaluation methods that focus on robotic ...
A Survey on Learning-Based Robotic Grasping
The capabilities of robots lag far behind. Robotic grasping and manipulation is a critical challenge [1]. Creating cognitive robots that can ...
Human-Guided Learning and Benchmarking of Robotic Heap Sorting
We will develop benchmark scenarios with varying complexities, i.e., grasping and pushing irregular objects, grasping selected objects from the heap, ...
a Functional Manipulation Benchmark for Generalizable Robotic ...
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning Jianlan Luo*, Charles Xu*, Fangchen Liu, Liam Tan, Zipeng Lin, ...
DexArt: Benchmarking Generalizable Dexterous Manipulation With ...
However, most methods focus on tasks with single-body objects like grasping or in-hand ma- nipulation. Dexterous manipulation on articulated objects remains a ...
YCB Benchmarks – Object and Model Set | Benchmarking for robotic ...
This website also serves as a portal for the community to propose new protocols benchmarks for manipulation research. Guidelines and some example protocols/ ...
Intelligent Soft Hands and Benchmarking towards General-Purpose ...
... manipulation behavior 1-6. Google Scholar. [20] Bicchi A. 2000 Hands for dexterous manipulation and robust grasping: A difficult road toward simplicity IEEE ...
VisGraB: A Benchmark for Vision-Based Grasping - De Gruyter
The user needs to provide a method for grasp generation based on the real visual input. The grasps are then planned, executed, and evaluated by the provided ...
BURG: Benchmarks for UndeRstanding Grasping - GtR - UKRI
This is not enough. To obtain a deeper understanding of object manipulation, we propose (1) a task-oriented part-based modelling of grasping and ...
Salvatore D'Avella on LinkedIn: Robotic Grasping and Manipulation ...
If so, don't miss what promises to be a stimulating and rewarding event. Participate in our #workshop entitled Benchmarking via Competition in ...
Welcome to the OpenGRASP Benchmark Suite, a new software environment for the comparative evaluation of algorithms for grasping and dexterous manipulation.
EGAD! An Evolved Grasping Analysis Dataset for diversity and ...
Keywords. deep learning in grasping and manipulation; Grasping; performance evaluation and benchmarking. Access to Document. 10.1109/LRA.2020.2992195. Other ...
Benchmarking anthropomorphic hands through grasping simulations
However, establishing standard benchmarks for grasping and manipulation is a need recognized among the robotics community. Experimental ...
An Open-source Recipe for Building Simulated Robot Manipulation ...
For example, quite a few benchmarks [6],. [7] adopt abstracted grasping, and consequently, grasping is almost irrelevant to the physical properties of an object ...
Dillmann,. “The OpenGRASP Benchmarking Suite: An Environment for the Comparative Analysis of Grasping and Dexterous Manipulation,” International ...
Another significant grasping and manipulation competition that focuses on evaluating the dexter- ity of robot grippers and hands based on benchmarking tasks is ...
The YCB Object and Model Set and Benchmarking Protocols
The Columbia Grasp Database (CGD) [3] rearranges the object models of the Princeton Shape Benchmark (PSB) [18] for robotic manipulation and provides mesh models ...
Analysis and Evaluation of the Dexterity, Grasping, and ...
This thesis focuses on the analysis and evaluation of the dexterity of human and robot hands, focusing on the grasping and dexterous manipulation capabilities.