Building and evaluating cloud robotic systems: A systematic review
V Dawarka, G Bekaroo - Robotics and Computer-Integrated Manufacturing, 2022 - Elsevier
Accelerated advancements in artificial intelligence and robotics have recently boosted the
proliferation and adoption of robotic systems within various industries. In order to improve …
proliferation and adoption of robotic systems within various industries. In order to improve …
Precise grabbing of overlapping objects system based on end-to-end deep neural network
H Sun, X Cui, Z Song, F Gu - Computer Communications, 2021 - Elsevier
In recent years, robotic arm technology is in dire need of reform because of the remarkable
advances in artificial intelligence and computer vision. The traditional robotic arm …
advances in artificial intelligence and computer vision. The traditional robotic arm …
A CAD-Free Random Bin Picking System for Fast Changeover on Multiple Objects
CT Lee, CH Tsai, JY Chang - Information …, 2020 - asmedigitalcollection.asme.org
Random bin picking (RBP) has been a popular research topic due to the demand of industry
4.0, techniques like object detection, picking strategies and robot motion planning are more …
4.0, techniques like object detection, picking strategies and robot motion planning are more …
Robot task planning via deep reinforcement learning: a tabletop object sorting application
This paper proposes a Deep Reinforcement Learning powered approach for tabletop object
sorting. Once perceived the environment, the system creates a semantic representation of …
sorting. Once perceived the environment, the system creates a semantic representation of …
Object detection and pose estimation using rotatable object detector DRBox-v2 for bin-picking robot
This research aims to identify and estimate the object's pose to support bin-picking robot
perception. In this research, we proposed the usage of the ArUco marker as a visual …
perception. In this research, we proposed the usage of the ArUco marker as a visual …
Efficient picking by considering simultaneous two-object grasping
T Sakamoto, W Wan, T Nishi… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
This paper presents a motion planning algorithm that enables robots to efficiently pick up
objects by considering simultaneous multi-object grasping. At the center of the algorithm is a …
objects by considering simultaneous multi-object grasping. At the center of the algorithm is a …
Category-association based similarity matching for novel object pick-and-place task
H Chen, T Kiyokawa, W Wan… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Robotic pick-and-place has been researched for a long time to cope with uncertainty of
novel objects and changeable environments. Past works mainly focus on learning-based …
novel objects and changeable environments. Past works mainly focus on learning-based …
Dynamic movement primitives based cloud robotic skill learning for point and non-point obstacle avoidance
Purpose Dynamic movement primitives (DMPs) is a general robotic skill learning from
demonstration method, but it is usually used for single robotic manipulation. For cloud-based …
demonstration method, but it is usually used for single robotic manipulation. For cloud-based …
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)
Industrial robots have been utilized for factory automation due to their high repeatability.
Along with the development of visual servo and machine learning techniques, various vision …
Along with the development of visual servo and machine learning techniques, various vision …
A cloud robot system using the dexterity network and berkeley robotics and automation as a service (brass)
In support of Cloud Robotics, Robotics and Automation as a Service (RAaaS) frameworks
have the potential to reduce the complexity of software development, simplify software …
have the potential to reduce the complexity of software development, simplify software …