PaMMO is a half-day workshop that will take place during ICPR 2020 in Milan, Italy. Due to the COVID-19 pandemic, the workshop will be fully virtual.
Object recognition, modelling, and pose estimation of objects for robot manipulation has achieved great advances in recent vision and robotics conferences (e.g., 6D pose challenges at vision conferences). However, vision still struggles with recognition under partial occlusions (e.g., in clutter or when an object is held by a human) and robots are still unable to handle everyday objects under realistic conditions in home, care, and service settings. Despite significant recent advances in data-driven grasping and manipulation, there are still considerable challenges to be addressed at the intersection of perception, robotics hardware, learning and grasp prediction. For example, learning to approach and grasp objects does not generalize beyond constrained objects and settings, object grasps are limited to specific robot embodiments,and perception does not generalize to cluttered scenes and objects touching or partially occludingeach other. Furthermore, evaluation and benchmarking (e.g., with the YCB object set and the YCB and Amazon challenges) is yet to become a standard for publishing advances in this domain.
PaMMO will focus on recent advances, open problems, and next steps to be taken in recognitionand modelling for the handover and manipulation of everyday objects. The Workshop includes invited talks by prominent researchers from different disciplines (e.g., vision and robotics for object manipulation), an open discussion, interactive videos and demos accompanied by posters.