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Found 5 papers, 1 papers with code
TetraGrip: Sensor-Driven Multi-Suction Reactive Object Manipulation in Cluttered Scenes
Additionally, we demonstrate that TetraGrip can successfully grasp objects in scenarios where a single-suction gripper fails due to physical limitations, specifically in two cases: (1) picking an object occluded by another object and (2) retrieving an object in a complex scenario.
OptiGrasp: Optimized Grasp Pose Detection Using RGB Images for Warehouse Picking Robots
In warehouse environments, robots require robust picking capabilities to manage a wide variety of objects.
PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks
To kickstart the benchmark, we extended several state-of-the art methods to bimanual manipulation and also present a language-conditioned behavioral cloning agent -- PerAct2, which enables the learning and execution of bimanual 6-DoF manipulation tasks.
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
Segmentation and tracking of unseen object instances in discrete frames pose a significant challenge in dynamic industrial robotic contexts, such as distribution warehouses.
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX
We introduce the memory system for our cognitive robot control architecture and its implementation in the robot software framework ArmarX.
