Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
نویسندگان
چکیده
منابع مشابه
Novel Framework of Robot Force Control Using Reinforcement Learning
Over the past decades, robotic technologies have advanced remarkably and have been proven to be successful, especially in the field of manufacturing. In manufacturing, conventional position-controlled robots perform simple repeated tasks in static environments. In recent years, there are increasing needs for robot systems in many areas that involve physical contacts with human-populated environ...
متن کاملTeaching Reinforcement Learning using a Physical Robot
This paper presents a little crawling robot as a didactic instrument for teaching reinforcement learning. The robot learns a forwardwalking policy from scratch in less than 20 seconds of reinforced sensorimotor interactions. The state space consists of two discretized dimensions, where the behavior is visualizable and comprehensible. In laboratory tutorials, students conduct experiments with a ...
متن کاملVision-Based Reinforcement Learning for RoboCup : Towards Real Robot Competition
We have been doing a research on vision-based reinforcement learning and applied the method to build real soccer playing robots towards RoboCup Initiative. In the first stage [Asada et al., 1994a; Asada et al., 1995b], a robot learned to shoot a ball into a goal given the state space in terms of the sizes and the positions of both the ball and the goal in image. As one extension of this first a...
متن کاملA Survey on Multiagent Reinforcement Learning Towards Multi-Robot Systems
Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theoretical research and practical applications, currently there have been a lot of efforts towards providing some solutions to this challenge. However, there are still many difficulties in scaling up multiagent reinforcement learnin...
متن کاملCar Simulation Using Reinforcement Learning
This project report presents the result of Reinforcement Learning (RL) experiments in a car simulation. W ithout any knowledge of the tracks in advance, the car can be trained to avoid bumping into the walls by learning from the given rewards. We have built a car simulation system in which the car can be trained and tested on the tracks with several RL algorithms , including Actor-Critic method...
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: Procedia Manufacturing
سال: 2019
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2020.01.030