The invention relates to a robot intelligent navigation control method comprising the following steps: a robot is put in an action area, and the robot detects the surrounding environment to acquire initial minimum distance information; the acquired initial minimum distance information is judged, the ...
The implementation and supplementary material for our RA-L work "An Affordance Keypoint Detection Network for Robot Manipulation". Python258 GraspKpNetGraspKpNetPublic Python386 Repositories ORB_SLAM3PublicForked fromUZ-SLAMLab/ORB_SLAM3 ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual...
-->Keywords: Path Planning; Motion Planning; Dynamical Systems; Navigation and Sensing; Localization; Visibility; Object Recognition; Environment Modeling; Spatial Representation; Fixture Design; Grasping; Distributed Systems; Learning and Skill Acquisition; Robot Control; --> Added keywords & ebook on ...
Navigation and Cooperative Control Using the AR.Drone Quadrotor. J Intell Robot Syst 84, 327–350 (2016). https://doi.org/10.1007/s10846-016-0355-y Download citation Received13 December 2014 Accepted14 February 2016 Published26 February 2016 Issue DateDecember 2016 DOIhttps://doi.org/10.1007/...
Majority of the existing robot navigation systems, which facilitate the use of laser range finders, sonar sensors or artificial landmarks, has the ability to locate itself in an unknown environment and then build a map of the corresponding environment. Stereo vision,while still being a rapidly ...
A modular, real-time controller library for Franka Emika Panda robots (based on deoxys_control). Python friendly client, with support for robotiq gripper. Python 2 Apache-2.0 32 0 0 Updated Nov 15, 2024 DPP-Batch-Active-Learning Public Companion code to the preprint: E Bıyık, ...
In this paper, we present an evolutionary approach for vision-based robot navigation in human environments. In our method, we convert the captured image in a binary one, which after the partition is used as the input of the neural controller. The neural control system, which maps the visual...
Deep reinforcement learning based path following control of magnetic navigation AGV[J]. Journal of Hangzhou Dianzi University, 2019, 39(2): 28–34 (in Chinese). [11] CARRERAS M, RIDAO P, EL-FAKDI A. Semi-online neural Q_leaming for real-time robot learning[C]//Proceedings of 2003 ...
recognition *Robotics Science and Engineering Modeling and identification Robot control Mobile robotics Mobile sensor networks Perception systems Micro robots and micro-manipulation Visual servoing Search, rescue and field robotics Robot sensing and data fusion Localization, navigation and mapping Dexterous ...
This paper deals with the application of a neuro-fuzzy inference system to a mobile robot navigation in an unknown, or partially unknown environment. The final aim of the robot is to reach some pre-defined goal. For this purpose, a sort of a co-operation between three main sub-modules is...