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Sampling-based robot motion planning: A review
Motion planning is a fundamental research area in robotics. Sampling-based methods offer
an efficient solution for what is otherwise a rather challenging dilemma of path planning …
an efficient solution for what is otherwise a rather challenging dilemma of path planning …
Sampling-based methods for motion planning with constraints
Robots with many degrees of freedom (eg, humanoid robots and mobile manipulators) have
increasingly been employed to accomplish realistic tasks in domains such as disaster relief …
increasingly been employed to accomplish realistic tasks in domains such as disaster relief …
Learning sampling distributions for robot motion planning
A defining feature of sampling-based motion planning is the reliance on an implicit
representation of the state space, which is enabled by a set of probing samples …
representation of the state space, which is enabled by a set of probing samples …
A probability smoothing Bi-RRT path planning algorithm for indoor robot
G Ma, Y Duan, M Li, Z ** with a versatile vacuum gripper
In this article, a six-step approach is proposed to simulate the grasp and evaluate the grasp
quality for a versatile vacuum gripper by tracking the deformation and force-torque wrench of …
quality for a versatile vacuum gripper by tracking the deformation and force-torque wrench of …