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ManipulationABBGazeboROSObject detectionMotion planning

ABB pick & place with perception (Gazebo)

Detection and motion planning in Gazebo before ABB cell deployment.

ABB pick & place with perception (Gazebo)

Problem

Reliable pick-and-place requires tight coupling between detection, grasp selection, and motion planning. Bringing an unproven perception stack straight to a factory ABB cell is risky; simulation-first validation reduces downtime and safety concerns.

Solution

We prototyped object detection and smart pick-and-place behaviors with an ABB industrial arm. Perception and planning loops were validated in Gazebo, with a path toward Vention-style or real-cell integration for hardware bring-up.

Outcome

The work demonstrates an end-to-end pipeline from perception through motion in simulation, forming a solid basis for deployment testing on the physical manipulator, fixtures, and safety-rated operation.

Technologies

ABBGazeboROSObject detectionMotion planningPythonC++

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ABB pick & place with perception (Gazebo)
ABB pick & place with perception (Gazebo)
ABB pick & place with perception (Gazebo)