Challenges for future robotic sorters of mixed industrial waste: A survey

T Kiyokawa, J Takamatsu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To achieve recycling of mixed industrial waste toward an advanced sustainable society,
waste sorting automation through robots is crucial and urgent. For this purpose, a robot is …

Effectively rearranging heterogeneous objects on cluttered tabletops

K Gao, J Yu, TS Punjabi, J Yu - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Effectively rearranging heterogeneous objects constitutes a high-utility skill that an intelligent
robot should master. Whereas significant work has been devoted to the grasp synthesis of …

On the utility of buffers in pick-n-swap based lattice rearrangement

K Gao, J Yu - 2023 IEEE International Conference on Robotics …, 2023 - ieeexplore.ieee.org
We investigate the utility of employing multiple buffers in solving a class of rearrangement
problems with pick-n-swap manipulation primitives. In this problem, objects stored randomly …

Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop

A Xu, K Gao, SW Feng, J Yu - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Object rearrangement is a fundamental sub-task in accomplishing a great many physical
tasks. As such, effectively executing rearrangement is an important skill for intelligent robots …

Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation

K Ren, G Wang, AS Morgan, LE Kavraki… - arXiv preprint arXiv …, 2024 - arxiv.org
Nonprehensile actions such as pushing are crucial for addressing multi-object
rearrangement problems. To date, existing nonprehensile solutions are all robot-centric, ie …

FedScrap: Layer-Wise Personalized Federated Learning for Scrap Detection

W Zhang, D Deng, L Wang - Electronics, 2024 - mdpi.com
Scrap steel inspection is a critical entry point for connecting the smelting process to the
industrial internet, with its security and privacy being of vital importance. Current …

Object recognition with human-in-the-loop assistance using error information

J Hu, N Kimura, T Matsui - 2024 IEEE 20th International …, 2024 - ieeexplore.ieee.org
Object recognition is fundamental to many industrial automation operations such as robotic
material handling. Currently, many industry sectors have seen growing needs to automate …

[PDF][PDF] Robot Autonomy for Scrap Cutting in Metal Recycling

J Akl - digital.wpi.edu
IN the wake and aftermath of the Second World War,'machine cognition'became a subject of
growing interest [1]. The myriad of efforts and trends that followed gestated into the various …

[PDF][PDF] Content-Aware Network for Quality Estimation of Copper Scrap Granules

K Zhao, Z Liu, K Wang - poster-openaccess.com
To determine the quality level of copper scrap granules, existing methods have to manually
identify all kinds of impurities mixed in copper scrap granules relying on technicians' …