3 papers
cs.RO2024
OptiGrasp: Optimized Grasp Pose Detection Using RGB Images for Warehouse Picking Robots
Soofiyan Atar, Yi Li, Markus Grotz +3
In warehouse environments, robots require robust picking capabilities to manage a wide variety of objects. Effective deployment demands minimal hardware, strong generalization to n…
cs.RO2024
PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks
Markus Grotz, Mohit Shridhar, Tamim Asfour +1
Bimanual manipulation is challenging due to precise spatial and temporal coordination required between two arms. While there exist several real-world bimanual systems, there is a l…
cs.RO2023
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
Yi Li, Muru Zhang, Markus Grotz +2
Segmentation and tracking of unseen object instances in discrete frames pose a significant challenge in dynamic industrial robotic contexts, such as distribution warehouses. Here,…