Results 1 to 10 of about 349,898 (169)

A Pure Electric Driverless Crawler Construction Machinery Walking Method Based on the Fusion SLAM and Improved Pure Pursuit Algorithms [PDF]

open access: yesSensors, 2023
Driverless technology refers to the technology that vehicles use to drive independently with the help of driverless system under the condition of unmanned intervention.
Jiangdong Wu   +5 more
doaj   +2 more sources

Pure pursuit method use to control unmanned motor grader

open access: yesВестник СибАДИ, 2022
Introduction. A relevant objective of implementing the advanced systems of self-driving road construction vehicles can be accomplished by mathematical modelling. One of the important issues when creating a motion control system for a self-driving vehicle
R. Yu. Sukharev
doaj   +4 more sources

Biomimetic Adaptive Pure Pursuit Control for Robot Path Tracking Inspired by Natural Motion Constraints [PDF]

open access: yesBiomimetics
The essence of biomimetics in human–computer interaction (HCI) is the inspiration derived from natural systems to drive innovations in modern-day technologies.
Suna Zhao   +8 more
doaj   +2 more sources

Model-Based Hybrid Control of Pure Pursuit and Stanley Methods for Vehicle Path Tracking [PDF]

open access: yesSensors
In this study, a new method was applied to systematically combine the two controllers, which can help overcome the limitations of non-systematic combinations such as rule-based methods. For the model-based process, the bicycle model was used.
Hojin Jung
doaj   +2 more sources

Performance Improvement of Pure Pursuit Algorithm via Online Slip Estimation for Off-Road Tracked Vehicle [PDF]

open access: yesSensors
The motion control of a tracked mobile robot remains an important capability for autonomous navigation. Kinematic path-tracking algorithms are commonly used in mobile robotics due to their ease of implementation and real-time computational cost advantage.
Çağıl Çiloğlu, Emir Kutluay
doaj   +2 more sources

Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method [PDF]

open access: yesSensors
This paper proposes a speed-adaptive autonomous driving path-tracking framework based on the soft actor–critic (SAC) and pure pursuit (PP) methods, named the SACPP controller.
Bingheng Han, Jinhong Sun
doaj   +2 more sources

Robot Differential Drive Navigation Through Probabilistic Roadmap and Pure Pursuit

open access: yesIEEE Access
This research addresses autonomous navigation for differential drive robots by integrating probabilistic roadmap (PRM) and pure pursuit algorithms. The proposed method innovatively tackles path planning challenges in complex environments by developing a ...
Maram Ali, Saptarshi Das, Stuart Townley
doaj   +2 more sources

PP-ST: An Indoor Mobile Robot Path Tracking Algorithm

open access: yesIEEE Access, 2023
Aiming at the problems that Pure Pursuit algorithm is too slow to approach the target path and take shortcuts at the corners under long forward-looking distance, and large heading jitter at the corners of the target path under short forward-looking ...
Yibo Cao   +4 more
doaj   +1 more source

Adaptive Lookahead Pure-Pursuit for Autonomous Racing

open access: yesVolume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, 2021
This paper presents an adaptive lookahead pure-pursuit lateral controller for optimizing racing metrics such as lap time, average lap speed, and deviation from a reference trajectory in an autonomous racing scenario. We propose a greedy algorithm to compute and assign optimal lookahead distances for the pure-pursuit controller for each waypoint on a ...
Sukhil, Varundev, Behl, Madhur
openaire   +3 more sources

Regulated pure pursuit for robot path tracking

open access: yesAutonomous Robots, 2023
The accelerated deployment of service robots have spawned a number of algorithm variations to better handle real-world conditions. Many local trajectory planning techniques have been deployed on practical robot systems successfully. While most formulations of Dynamic Window Approach and Model Predictive Control can progress along paths and optimize for
Steve Macenski   +3 more
openaire   +2 more sources

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