An Robot Vision Grasping Network Based on Inception-Lite
نویسندگان
چکیده
منابع مشابه
Parameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm
In this paper, the uncertain dynamic parameters of an experimental target tracker robot are identified through the application of genetic algorithm. The considered serial robot is a two-degree-of-freedom dynamic system with two revolute joints in which damping coefficients and inertia terms are uncertain. First, dynamic equations governing the robot system are extracted and then, simulated nume...
متن کاملAn Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network
RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...
متن کاملVisGraB: A benchmark for vision-based grasping
We present a database and a software tool, VisGraB, for benchmarking of methods for vision-based grasping of unknown objects with no prior object knowledge. The benchmark is a combined real-world and simulated experimental setup. Stereo images of real scenes containing several objects in different configurations are included in the database. The user needs to provide a method for grasp generati...
متن کاملTheory and Experiments in Vision-Based Grasping
Flexible operation of a robotic agent requires interaction with an uncalibrated or partially calibrated environment through the use of sensing. Much of the recent work in robotics and computer vision has concentrated upon the active observation of dynamic targets by the robotic agent. This paper focuses on autonomous interaction with moving targets in the environment. In particular, we propose ...
متن کاملRobot Grasping
o b j e c t. T h e y d e m o n s t r a t e t h a t a r o b o t c a n s u c c e s s f u l l y g r a s p t h e o b j e c t t h a t
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1748/2/022041