BollorĂ© Logistics — Assembly Line Automation

In collaboration with Bolloré Logistics, this project aimed to overhaul the Value-Added Services (VAS) assembly line. By integrating robotics and autonomous systems, we modeled and physically demonstrated a transition to a Modular Assembly Line (MAL), showcasing significant productivity improvements and reduced reliance on manual labor for High-Mix Low-Volume (HMLV) operations.

Bollore Logistics

1. The System & Simulation Validation

We modeled both the legacy Assembly Line (AL) and our proposed Modular Assembly Line (MAL) in Visual Components to mathematically prove throughput improvements.

MAL Simulation

Modular Assembly Line visual components simulation

MAL Throughput

Modular Assembly Line throughput data

Legacy AL Simulation

Legacy Assembly Line visual components simulation

Legacy AL Throughput

Legacy Assembly Line throughput data

Real-World Demonstration

We physically verified the simulated test cases using a UR10 robotic arm for kitting/cartoning and an AgileX LIMO AMR for inter-station transport.


2. System Architecture & Control

We applied Arcadia and Capella methodologies to define the solution architecture. For the physical execution, we scripted UR10 6-axis kinematics using the RoboDK Python API.

Arcadia Architecture

System architecture diagram

System Overview (OV-1)

OV1 system overview

RoboDK Kinematics

RoboDK joint coordinate planning

Latent Path Checking

RoboDK latent point verification

3. Prototyping & Fabrications

To enable the UR10 and LIMO to handle complex tasks, we engineered and fabricated custom hardware solutions including a Variable Conveyor Belt, an STM32-driven servo flap mechanism for the AMR, and a custom vacuum end-effector.

Variable Conveyor Belt

Variable conveyor belt prototype

LIMO Interface (STM32)

LIMO mount with STM32 and servo

Vacuum Motor Housing

Complete DC vacuum motor housing on UR10

Physical Validation

Physical UR10 setup