A survey of optimization-based task and motion planning: From classical to learning approaches
Task and motion planning (TAMP) integrates high-level task planning and low-level motion
planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic …
planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic …
A review of recent trend in motion planning of industrial robots
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 …
motion in order to achieve a successful performance. The ability to generate a smooth …
Motion planning networks: Bridging the gap between learning-based and classical motion planners
This article describes motion planning networks (MPNet), a computationally efficient,
learning-based neural planner for solving motion planning problems. MPNet uses neural …
learning-based neural planner for solving motion planning problems. MPNet uses neural …
Path planning using neural a* search
We present Neural A*, a novel data-driven search method for path planning problems.
Despite the recent increasing attention to data-driven path planning, machine learning …
Despite the recent increasing attention to data-driven path planning, machine learning …
Reducing collision checking for sampling-based motion planning using graph neural networks
Sampling-based motion planning is a popular approach in robotics for finding paths in
continuous configuration spaces. Checking collision with obstacles is the major …
continuous configuration spaces. Checking collision with obstacles is the major …
Goal distance-based UAV path planning approach, path optimization and learning-based path estimation: GDRRT*, PSO-GDRRT* and BiLSTM-PSO-GDRRT
The basic conditions for mobile robots to be autonomous are that the mobile robot localizes
itself in the environment and knows the geometric structure of the environment (map). After …
itself in the environment and knows the geometric structure of the environment (map). After …
A survey of learning‐based robot motion planning
A fundamental task in robotics is to plan collision‐free motions among a set of obstacles.
Recently, learning‐based motion‐planning methods have shown significant advantages in …
Recently, learning‐based motion‐planning methods have shown significant advantages in …
Collision avoidance and path planning for industrial manipulator using slice-based heuristic fast marching tree
YH Yu, YT Zhang - Robotics and Computer-Integrated Manufacturing, 2022 - Elsevier
With the emergence of Industry 4.0, high productivity is critically dependent on robot
manipulators. However, building an efficient and safe work environment with robot …
manipulators. However, building an efficient and safe work environment with robot …
Deep learning-based optimization for motion planning of dual-arm assembly robots
With the rapid technological and economic development, a growing number of companies
are employing robots for their production and service operations. Motion planning is a …
are employing robots for their production and service operations. Motion planning is a …
A review of prospects and opportunities in disassembly with human–robot collaboration
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …
of-use (EoU) products. However, the current manual disassembly process is inefficient due …