Training neural networks using reinforcement learning to reactive path planning
MVC Coy, EC Casallas - Journal of Applied Engineering Science, 2021 - aseestant.ceon.rs
The mobile robots are devices with great boom given the possibilities that their utilities offer,
and to a greater extent, those freelancers who do not require an operator to perform their …
and to a greater extent, those freelancers who do not require an operator to perform their …
Role of reference frames for a safe human–robot interaction
Safety plays a key role in human–robot interactions in collaborative robot (cobot)
applications. This paper provides a general procedure to guarantee safe workstations …
applications. This paper provides a general procedure to guarantee safe workstations …
Reference frame identification and distributed control strategies in human-robot collaboration
The reference frame definition is a significant postulate for the robot motion planning
process. Reference frame selection can be classified as allocentric, egocentric and route …
process. Reference frame selection can be classified as allocentric, egocentric and route …
Robot Path Planning System in Populated Dynamic Environment using Dynamic Wave Expansion Neural Network Techniques
DK Mishra, M Ashraf… - … & ESSENTIAL OILS …, 2021 - nveo.org
In heavily crowded dynamic situations robot navigation faces numerous problems. The path
planning approaches for navigation robots in dense situations are presented in this work. In …
planning approaches for navigation robots in dense situations are presented in this work. In …
Optimal Generation of Closed Trajectories over Large, Arbitrary Surfaces Based on Non-calibrated Vision
EJ Gonzalez-Galvan, A Loredo-Flores… - Machine Vision and …, 2020 - Springer
This chapter presents a methodology for the accurate generation and tracking of closed
trajectories over arbitrary, large surfaces of unknown geometry, using a robot whose control …
trajectories over arbitrary, large surfaces of unknown geometry, using a robot whose control …