It is desirable to enable robots capable of automatic assembly. Structural understanding of
object parts plays a crucial role in this task yet remains relatively unexplored. In this letter …

A recent line of work has shown that end-to-end optimization of Bayesian filters can be used
to learn state estimators for systems whose underlying models are difficult to hand-design or …

Trajectory forecasting is a widely-studied problem for autonomous navigation. However,
existing benchmarks evaluate forecasting based on independent snapshots of trajectories …

In this study, we consider the problem of predicting task success for open-vocabulary
manipulation by a manipulator, based on instruction sentences and egocentric images …

Autonomous assembly in robotics and 3D vision presents significant challenges, particularly
in ensuring assembly correctness. Presently, predominant methods such as MEPNet focus …

Manipulation tasks often require a robot to adjust its sensorimotor skills based on the state it
finds itself in. Taking peg-in-hole as an example: once the peg is aligned with the hole, the …

Nowadays, robots have been widely used in various manufacturing assemblies. However, in
the mobile phone flexible printed circuit (FPC) assembly task, robots are still far from …

Robot assembly tasks can fail due to unpredictable errors and can only continue with the
manual intervention of a human operator. Recently, we proposed an exception strategy …

In industrial part kitting, 3D objects are inserted into cavities for transportation or subsequent
assembly. Kitting is a critical step as it can decrease downstream processing and handling …