Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
This paper presents a comprehensive survey of data-driven robotic visual grasping
detection (DRVGD) for unknown objects. We review both object-oriented and scene …
detection (DRVGD) for unknown objects. We review both object-oriented and scene …
Real-time avoidance strategy of dynamic obstacles via half model-free detection and tracking with 2d lidar for mobile robots
Avoidance is a necessary capability for a mobile robot to perform tasks, such as delivering
objects in household or industrial scenarios. The existing avoidance strategy based on …
objects in household or industrial scenarios. The existing avoidance strategy based on …
An integrated hand-object dense pose estimation approach with explicit occlusion awareness for human-robot collaborative disassembly
Human-robot collaborative disassembly (HRCD) has gained much interest in the
disassembly tasks of end-of-life products, integrating both robot's high efficiency in repetitive …
disassembly tasks of end-of-life products, integrating both robot's high efficiency in repetitive …
Bioinspired amphibious origami robot with body sensing for multimodal locomotion
Animals have long captured the inspirations of researchers in robotics with their unrivaled
capabilities of multimodal locomotion on land and in water, achieved by functionally …
capabilities of multimodal locomotion on land and in water, achieved by functionally …
UPG: 3D vision-based prediction framework for robotic grasping in multi-object scenes
Robotic grasping has the challenge of accurately extracting the graspable target from a
complicated scenario. To address the issue, we propose a 3D vision prediction framework …
complicated scenario. To address the issue, we propose a 3D vision prediction framework …
Construction of interaction parallel manipulator: towards rehabilitation massage
A massage robot can aid physicians in treating occupational diseases. While massaging, a
robotic manipulator is required to continuously exert desired force according to the …
robotic manipulator is required to continuously exert desired force according to the …
Review of reinforcement learning for robotic grasping: Analysis and recommendations
This review paper provides a comprehensive analysis of over 100 research papers focused
on the challenges of robotic grasping and the effectiveness of various machine learning …
on the challenges of robotic grasping and the effectiveness of various machine learning …
PPR-Net++: Accurate 6-D pose estimation in stacked scenarios
Most supervised learning-based pose estimation methods for stacked scenes are trained on
massive synthetic datasets. In most cases, the challenge is that the learned network on the …
massive synthetic datasets. In most cases, the challenge is that the learned network on the …
GSG: a granary-shaped soft gripper with mechanical sensing via snap-through structure
Soft robotic grippers have attracted considerable attention in terms of the advantages of the
high compliance and robustness to variance in object geometry; however, they are still …
high compliance and robustness to variance in object geometry; however, they are still …
Deep convolutional generative adversarial network for inverse kinematics of self-assembly robotic arm based on the depth sensor
In this study, we propose a new deep convolutional generative adversarial kinematics
network (DCGAKN) to establish inverse kinematics of self-assembly robotic arm. We design …
network (DCGAKN) to establish inverse kinematics of self-assembly robotic arm. We design …