Towards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025
THE PROBLEM
This paper focuses on Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects.. This paper demonstrates a practical end-to-end system for picking specific objects from clutter in sequence—something harder than standard Manipulation & TasksGraspingTaking hold of an object. because the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. must search, avoid collisions with surrounding items, and handle both rigid and soft objects. If you're building real warehouse/bin-picking robots, this runner-up competition solution shows a working pipeline combining custom hardware (Movement, Mechanics & Robot BodyGripperA common end-effector used to grasp objects. design) with smart decluttering and occlusion-aware searching strategies. Read the paper by tracking the Core ConceptsTaskThe job the robot is supposed to complete, such as pick-and-place, navigation, or drawer opening. definition, the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. or data assumptions, and the evidence that supports the claimed improvement.
HOW IT WORKS
Task framing
Core method
Data and supervision
Evaluation evidence
KEY RESULTS
This paper demonstrates a practical end-to-end system for picking specific objects from clutter in sequence—something harder than standard Manipulation & TasksGraspingTaking hold of an object. because the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. must search, avoid collisions with surrounding items, and handle both rigid and soft objects. If you're building real warehouse/bin-picking robots, this runner-up competition solution shows a working pipeline combining custom hardware (Movement, Mechanics & Robot BodyGripperA common end-effector used to grasp objects. design) with smart decluttering and occlusion-aware searching strategies.
WHY DEVELOPERS SHOULD CARE
This paper demonstrates a practical end-to-end system for picking specific objects from clutter in sequence—something harder than standard Manipulation & TasksGraspingTaking hold of an object. because the Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. must search, avoid collisions with surrounding items, and handle both rigid and soft objects. If you're building real warehouse/bin-picking robots, this runner-up competition solution shows a working pipeline combining custom hardware (Movement, Mechanics & Robot BodyGripperA common end-effector used to grasp objects. design) with smart decluttering and occlusion-aware searching strategies.
LIMITATIONS
The main limitation to check is whether the claimed behavior holds outside the paper's reported setup. That means testing across different Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. embodiments, scenes, objects, and data distributions.
WHAT COMES NEXT
The practical next step is independent reproduction with clear baselines, ablations, and stress tests. For a developer, the useful follow-up is to map the paper's Manipulation & TasksManipulationUsing a robot arm or hand to move or interact with objects. assumptions onto a concrete Core ConceptsRobotA physical system with sensors and actuators that can observe the world and take actions. stack, then test the smallest version of the method that could run end to end.