Recycling lithium-ion batteries from electric vehicles

G Harper, R Sommerville, E Kendrick, L Driscoll… - nature, 2019 - nature.com
Rapid growth in the market for electric vehicles is imperative, to meet global targets for
reducing greenhouse gas emissions, to improve air quality in urban centres and to meet the …

Object handovers: a review for robotics

V Ortenzi, A Cosgun, T Pardi, WP Chan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

Anygrasp: Robust and efficient grasp perception in spatial and temporal domains

HS Fang, C Wang, H Fang, M Gou, J Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as
humans. Our innate grasping system is prompt, accurate, flexible, and continuous across …

Learning human-to-robot handovers from point clouds

S Christen, W Yang, C Pérez-D'Arpino… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose the first framework to learn control policies for vision-based human-to-robot
handovers, a critical task for human-robot interaction. While research in Embodied AI has …

Reactive human-to-robot handovers of arbitrary objects

W Yang, C Paxton, A Mousavian… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Human-robot object handovers have been an actively studied area of robotics over the past
decade; however, very few techniques and systems have addressed the challenge of …

A review of recent trend in motion planning of industrial robots

MG Tamizi, M Yaghoubi, H Najjaran - International Journal of Intelligent …, 2023 - Springer
Motion planning is an integral part of each robotic system. It is critical to develop an effective
motion in order to achieve a successful performance. The ability to generate a smooth …

Synh2r: Synthesizing hand-object motions for learning human-to-robot handovers

S Christen, L Feng, W Yang, YW Chao… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Vision-based human-to-robot handover is an important and challenging task in human-robot
interaction. Recent work has attempted to train robot policies by interacting with dynamic …

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 …

Target-referenced reactive grasping for dynamic objects

J Liu, R Zhang, HS Fang, M Gou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Reactive grasping, which enables the robot to successfully grasp dynamic moving objects, is
of great interest in robotics. Current methods mainly focus on the temporal smoothness of …

A novel robotic grasping method for moving objects based on multi-agent deep reinforcement learning

Y Huang, D Liu, Z Liu, K Wang, Q Wang… - Robotics and Computer …, 2024 - Elsevier
To grasp the randomly moving objects in unstructured environment, a novel robotic grasping
method based on multi-agent TD3 with high-quality memory (MA-TD3H) is proposed. During …