Visual affordance and function understanding: A survey
Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …
industries. Robot vision aims to equip robots with the capabilities to discover information …
Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions
Perceiving and interacting with 3D articulated objects, such as cabinets, doors, and faucets,
pose particular challenges for future home-assistant robots performing daily tasks in human …
pose particular challenges for future home-assistant robots performing daily tasks in human …
O2o-afford: Annotation-free large-scale object-object affordance learning
Contrary to the vast literature in modeling, perceiving, and understanding agent-object (eg,
human-object, hand-object, robot-object) interaction in computer vision and robotics, very …
human-object, hand-object, robot-object) interaction in computer vision and robotics, very …
A survey of knowledge representation in service robotics
Within the realm of service robotics, researchers have placed a great amount of effort into
learning, understanding, and representing motions as manipulations for task execution by …
learning, understanding, and representing motions as manipulations for task execution by …
Affordances in robotic tasks--a survey
Affordances are key attributes of what must be perceived by an autonomous robotic agent in
order to effectively interact with novel objects. Historically, the concept derives from the …
order to effectively interact with novel objects. Historically, the concept derives from the …
Interacting objects: A dataset of object-object interactions for richer dynamic scene representations
Dynamic environments in factories, surgical robotics, and warehouses increasingly involve
humans, machines, robots, and various other objects such as tools, fixtures, conveyors, and …
humans, machines, robots, and various other objects such as tools, fixtures, conveyors, and …
Approximate task tree retrieval in a knowledge network for robotic cooking
Flexible task planning continues to pose a difficult challenge for robots, where a robot is
unable to creatively adapt their task plans to new or unseen problems, which is mainly due …
unable to creatively adapt their task plans to new or unseen problems, which is mainly due …
Functional object-oriented network for manipulation learning
This paper presents a novel structured knowledge representation called the functional
object-oriented network (FOON) to model the connectivity of the functional-related objects …
object-oriented network (FOON) to model the connectivity of the functional-related objects …
From cooking recipes to robot task trees–improving planning correctness and task efficiency by leveraging llms with a knowledge network
Task planning for robotic cooking involves generating a sequence of actions for a robot to
prepare a meal successfully. This paper introduces a novel task tree generation pipeline …
prepare a meal successfully. This paper introduces a novel task tree generation pipeline …
Regrad: A large-scale relational grasp dataset for safe and object-specific robotic grasping in clutter
H Zhang, D Yang, H Wang, B Zhao… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Despite the impressive progress achieved in robotic grasping, robots are not skilled in
sophisticated tasks (eg search and grasp a specified target in clutter). Such tasks involve not …
sophisticated tasks (eg search and grasp a specified target in clutter). Such tasks involve not …