A comprehensive review of vision-based robotic applications: Current state, components, approaches, barriers, and potential solutions
Being an emerging technology, robotic manipulation has encountered tremendous
advancements due to technological developments starting from using sensors to artificial …
advancements due to technological developments starting from using sensors to artificial …
Parallel vision for intelligent transportation systems in metaverse: Challenges, solutions, and potential applications
Metaverse and intelligent transportation system (ITS) are disruptive technologies that have
the potential to transform the current transportation system by decreasing traffic accidents …
the potential to transform the current transportation system by decreasing traffic accidents …
A review of robotic grasp detection technology
M Dong, J Zhang - Robotica, 2023 - cambridge.org
In order to complete many complex operations and attain more general-purpose utility,
robotic grasp is a necessary skill to master. As the most common essential action of robots in …
robotic grasp is a necessary skill to master. As the most common essential action of robots in …
Regnet: Region-based grasp network for end-to-end grasp detection in point clouds
B Zhao, H Zhang, X Lan, H Wang… - … on robotics and …, 2021 - ieeexplore.ieee.org
Reliable robotic gras** in unstructured environments is a crucial but challenging task. The
main problem is to generate the optimal grasp of novel objects from partial noisy …
main problem is to generate the optimal grasp of novel objects from partial noisy …
“good robot!”: Efficient reinforcement learning for multi-step visual tasks with sim to real transfer
Current Reinforcement Learning (RL) algorithms struggle with long-horizon tasks where
time can be wasted exploring dead ends and task progress may be easily reversed. We …
time can be wasted exploring dead ends and task progress may be easily reversed. We …
Robotic Continuous Gras** System by Shape Transformer-Guided Multiobject Category-Level 6-D Pose Estimation
J Liu, W Sun, C Liu, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Robotic gras** is one of the key functions for realizing industrial automation and human–
machine interaction. However, current robotic gras** methods for unknown objects mainly …
machine interaction. However, current robotic gras** methods for unknown objects mainly …
Robotic gras** from classical to modern: A survey
A robot gras** system with single-stage anchor-free deep grasp detector
Robot grasp estimation in an unstructured environment for complex objects is a challenging
and not solved topic. In this article, we propose a novel grasp pose detection deep model …
and not solved topic. In this article, we propose a novel grasp pose detection deep model …
NeuroGrasp: multimodal neural network with Euler region regression for neuromorphic vision-based grasp pose estimation
Grasp pose estimation is a crucial procedure in robotic manipulation. Most of the current
robot grasp manipulation systems are built on frame-based cameras like RGB-D cameras …
robot grasp manipulation systems are built on frame-based cameras like RGB-D cameras …
A semantic robotic gras** framework based on multi-task learning in stacking scenes
S Duan, G Tian, Z Wang, S Liu, C Feng - Engineering Applications of …, 2023 - Elsevier
Autonomous robotic gras** is an essential skill for service robots to perform specified
tasks in unstructured scenarios. Previous work focus on simple pick-and-place tasks, and it …
tasks in unstructured scenarios. Previous work focus on simple pick-and-place tasks, and it …