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The Disassembly Machine

Autonomous Architectures for Robotic EV Battery Decommissioning

The green revolution has a dirty secret: millions of spent batteries with no way out.

Strategic Objectives

• Master the kinematics of complex robotic dismantling systems.

• Implement computer vision algorithms for real-time part recognition.

• Design adaptive software logic for diverse battery architectures.

• Navigate the safety protocols of high-voltage physical breakdown.

The Core Challenge

Manual disassembly of electric vehicle batteries is slow, hazardous, and economically unscalable, creating a massive bottleneck in the circular economy.

01

The Disassembly Imperative

02

Anatomy of the Pack

03

Robotic Kinematics

04

The Degrees of Freedom

05

Visual Perception Systems

06

Object Recognition Algorithms

07

Point Cloud Processing

08

End Effector Design

09

Force and Torque Control

10

Trajectory Planning

11

Automated Fastener Removal

12

Sensor Fusion in Robotics

13

Handling High-Voltage Risks

14

Human-Robot Collaboration

15

Machine Learning for Variety

16

Inverse Kinematics Solvers

17

Dealing with Adhesives

18

Real-Time Operating Systems

19

Industrial Communication Protocols

20

Design for Recycling (DfR)

21

The Fully Autonomous Yard

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