Results 31 to 40 of about 25,198 (167)
A Study on Dynamic Motion Planning for Autonomous Vehicles Based on Nonlinear Vehicle Model
Sensors, 2022 Autonomous driving technology, especially motion planning and the trajectory tracking method, is the foundation of an intelligent interconnected vehicle, which needs to be improved urgently.
Xin Tang, Boyuan Li, Haiping Du
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RoboticsThis paper presents a complete system for autonomous navigation in GPS-denied environments using a minimal sensor suite that operates onboard a robotic vehicle.
Aristeidis Geladaris +3 more
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IEEE Access, 2021 To guarantee safe motion planning, the underlying path planning algorithm must consider motion uncertainties and uncertain state information related to static, and dynamic obstacles. This paper proposes novel hybrid A* (HA*) algorithms that
Tobias Rainer Schafle, Naoki Uchiyama
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Strict Theta*: Shorter Motion Path Planning Using Taut Paths
Proceedings of the International Conference on Automated Planning and Scheduling, 2016 A common way to represent dynamic 2D open spaces in robotics and video games for any-angle path planning is through the use of a grid with blocked and unblocked cells. The Basic Theta* algorithm is an existing algorithm that produces near-optimal solutions with a running time close to A* on 8-directional grids.
Shunhao Oh, Hon Wai Leong
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Realtime Informed Path Sampling for Motion Planning Search [PDF]
, 2016 Robot motions typically originate from an uninformed path sampling process such as random or low-dispersion sampling. We demonstrate an alternative approach to path sampling that closes the loop on the expensive collision-testing process. Although all necessary information for collision-testing a path is known to the planner, that information is ...
Ross A. Knepper, Matthew T. Mason
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MeshA*: Efficient Path Planning with Motion Primitives
Proceedings of the AAAI Conference on Artificial IntelligenceWe study a path planning problem where the possible move actions are represented as a finite set of motion primitives aligned with the grid representation of the environment. That is, each primitive corresponds to a short kinodynamically-feasible motion of an agent and is represented as a sequence of the swept cells of a grid.
Marat Agranovskiy, Konstantin Yakovlev
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Robust Graph-Based Spatial Coupling of Dynamic Movement Primitives for Multi-Robot Manipulation
RoboticsDynamic Movement Primitives (DMPs) provide a flexible framework for robotic trajectory generation, offering adaptability, robustness to disturbances, and modulation of predefined motions.
Zhenxi Cui +3 more
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Sampling Based Vehicle Motion Planning for Autonomous Valet Parking with Moving Obstacles
International Journal of Automotive Engineering, 2018 This paper describes a motion planning algorithm for unstructured dynamic environments with motion prediction for moving obstacles. The proposed algorithm is composed of the four steps: 1) target motion prediction; 2) drivable area decision 3) local path
Yonghwan Jeong +4 more
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Fast Path Planning for Kinematic Smoothing of Robotic Manipulator Motion
SensorsThe Rapidly-exploring Random Tree Star (RRT*) algorithm is widely applied in robotic manipulator path planning, yet it does not directly consider motion control, where abrupt changes may cause shocks and vibrations, reducing accuracy and stability.
Hui Liu +3 more
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Motion planner for a Tetris-inspired reconfigurable floor cleaning robot
International Journal of Advanced Robotic Systems, 2020 Coverage path planning technique is an essential ingredient in every floor cleaning robotic systems. Even though numerous approaches demonstrate the benefits of conventional coverage motion planning techniques, they are mostly limited to fixed ...
Prabakaran Veerajagadheswar +4 more
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