Journal

This IEEE Access paper examines where robotics can unlock value in electric vehicle battery disassembly. We model process flows, labour costs, cycle times, safety requirements, and automation readiness to highlight the opportunities—and limits—of deploying robotics at scale.

We presented a semi-autonomous disassembly workflow that overlays mixed reality (MR) instructions onto the workspace, helping operators supervise complex EV battery pack breakdowns while the robot handles routine steps.

This MDPI Robotics article introduces a hybrid task planner that coordinates multiple robotic arms to dismantle electric vehicle battery packs efficiently. The planner fuses logical reasoning with motion planning so that robots can share a workspace without collisions.

The Interfacing Toolbox for Robotic Arms (ITRA) links industrial manipulators, sensors, and actuators to execute EV battery disassembly tasks with hybrid visual servoing. The Batteries journal article showcases deployments on both KUKA KR10 and KR500 platforms.

Presented at ICICIS 2023, this paper analyses how hyperparameter optimisation improves convolutional and CNN-LSTM models for predicting the remaining useful life (RUL) of lithium-ion batteries.

This companion ICICIS 2023 paper explores how Differentiable Neural Computer (DNC) memory modules extend CNN and CNN-LSTM predictors for lithium-ion battery remaining useful life estimation.