Task-relevant gras** is critical for industrial assembly, where downstream manipulation
tasks constrain the set of valid grasps. Learning how to perform this task, however, is …

Tool use requires reasoning about the fit between an object's affordances and the demands
of a task. Visual affordance learning can benefit from goal-directed interaction experience …

Much progress in AI over the last decade has been driven by advances in natural language
processing technology, in turn facilitated by large datasets and increased computation …

Imitation learning enables robots to learn new tasks from human examples. One current
fundamental limitation while learning from humans is causal confusion. Causal confusion …

BEYOND INSTANCE-LEVEL REASONING IN OBJECT POSE ESTIMATION AND
TRACKING FOR ROBOTIC MANIPULATION Page 1 BEYOND INSTANCE-LEVEL …

Discovering affordances has been a long-term research question, with many different
approaches both on the symbolic/ontological level [13, 4, 12] and on the …