Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning
L Wang, X Hu, Y Wang, S Xu, S Ma, K Yang, Z Liu… - Computer Networks, 2021 - Elsevier
Job-shop scheduling problem (JSP) is used to determine the processing order of the jobs
and is a typical scheduling problem in smart manufacturing. Considering the dynamics and …
and is a typical scheduling problem in smart manufacturing. Considering the dynamics and …
Legged fire fighter robot movement using PID
Abstract Proportional Integral Derivative (PID) control is a control system commonly used by
industry. Approximately 90% of industrial equipment uses a PID controller because it is easy …
industry. Approximately 90% of industrial equipment uses a PID controller because it is easy …
Efficient deep reinforcement learning for optimal path planning
J Ren, X Huang, RN Huang - Electronics, 2022 - mdpi.com
In this paper, we propose a novel deep reinforcement learning (DRL) method for optimal
path planning for mobile robots using dynamic programming (DP)-based data collection …
path planning for mobile robots using dynamic programming (DP)-based data collection …
An animation character robot that increases sales
R Matsumura, M Shiomi - Applied Sciences, 2022 - mdpi.com
Featured Application Investigating the effects of a social robot on sales in shopping malls. A
potential application is the design of social robot behaviors in scenarios where robots work …
potential application is the design of social robot behaviors in scenarios where robots work …
An approach based on quantum reinforcement learning for navigation problems
The power of classical computers is still insufficient for deep reinforcement learning (DRL)
problems which has large state space. Thanks to entanglement and superposition, quantum …
problems which has large state space. Thanks to entanglement and superposition, quantum …
[HTML][HTML] Optimized TD3 algorithm for robust autonomous navigation in crowded and dynamic human-interaction environments
HA Neamah, OAM Mayorga - Results in Engineering, 2024 - Elsevier
Mobile robots have been incorporated into human society to help perform tasks that can
affect or endanger health and life. One of the challenges is in the mobile robot-human …
affect or endanger health and life. One of the challenges is in the mobile robot-human …
Dynamic production scheduling and maintenance planning under opportunistic grouping
Maintenance and production scheduling are intertwined activities that should be addressed
simultaneously to uphold production systems' reliability and production efficiency. The digital …
simultaneously to uphold production systems' reliability and production efficiency. The digital …
Social robot navigation with adaptive proxemics based on emotions
The primary aim of this paper is to investigate the integration of emotions into the social
navigation framework to analyse its effect on both navigation and human physiological …
navigation framework to analyse its effect on both navigation and human physiological …
Social Elastic Band with Prediction and Anticipation: Enhancing Real-Time Path Trajectory Optimization for Socially Aware Robot Navigation
G Pérez, N Zapata-Cornejo, P Bustos… - International Journal of …, 2024 - Springer
As social robots are projected to become an integral part of human life in the coming
decades, their ability to adapt movement and trajectory when in proximity to people is …
decades, their ability to adapt movement and trajectory when in proximity to people is …
Do you mind if i pass through? Studying the appropriate robot behavior when traversing two conversing people in a hallway setting
Several works highlight how robots can navigate in a socially-aware manner by respecting
and avoiding people's personal spaces. But how should the robot act when there is no way …
and avoiding people's personal spaces. But how should the robot act when there is no way …