Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery

by   Peter J Bentley, et al.

The use of autonomous robots for delivery of goods to customers is an exciting new way to provide a reliable and sustainable service. However, in the real world, autonomous robots still require human supervision for safety reasons. We tackle the realworld problem of optimizing autonomous robot timings to maximize deliveries, while ensuring that there are never too many robots running simultaneously so that they can be monitored safely. We assess the use of a recent hybrid machine-learningoptimization approach COIL (constrained optimization in learned latent space) and compare it with a baseline genetic algorithm for the purposes of exploring variations of this problem. We also investigate new methods for improving the speed and efficiency of COIL. We show that only COIL can find valid solutions where appropriate numbers of robots run simultaneously for all problem variations tested. We also show that when COIL has learned its latent representation, it can optimize 10 making it a good choice for daily re-optimization of robots where delivery requests for each day are allocated to robots while maintaining safe numbers of robots running at once.


page 1

page 2

page 3

page 5

page 6

page 7

page 8

page 10


COIL: Constrained Optimization in Learned Latent Space – Learning Representations for Valid Solutions

Constrained optimization problems can be difficult because their search ...

GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation

Robots have been used in all sorts of automation, and yet the design of ...

Design and Implement an Enhanced Simulator for Autonomous Delivery Robot

As autonomous driving technology is getting more and more mature today, ...

Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D

In the context of Intelligent Transportation Systems and the delivery of...

Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots

In addition to its crucial impact on customer satisfaction, last-mile de...

The Analysis of Discrete-Event System in Autonomous Package Delivery using Legged Robot and Conveyor Belt

In this paper, the supervisory control of a Discrete Event System (DES) ...

Should Social Robots in Retail Manipulate Customers?

Against the backdrop of structural changes in the retail trade, social r...

Please sign up or login with your details

Forgot password? Click here to reset