In existing task and motion planning (TAMP) research, it is a common
ass...
While state-of-the-art NLP models have demonstrated excellent performanc...
Task planning systems have been developed to help robots use human knowl...
Human-robot collaboration (HRC) has become increasingly relevant in
indu...
Classical planning systems have shown great advances in utilizing rule-b...
Multi-object rearrangement is a crucial skill for service robots, and
co...
Given the current point-to-point navigation capabilities of autonomous
v...
Automated task planning algorithms have been developed to help robots
co...
Joint detection and embedding (JDE) based methods usually estimate bound...
Task and motion planning (TAMP) algorithms aim to help robots achieve
ta...
Task and motion planning (TAMP) algorithms have been developed to help r...
Augmented reality technology based on image registration is becoming
inc...
Everyday tasks are characterized by their varieties and variations, and
...
Multi-person pose estimation is a fundamental and challenging problem to...
Autonomous vehicles need to plan at the task level to compute a sequence...
Semantic SLAM is an important field in autonomous driving and intelligen...
High fuel consumption cost results in drivers' economic burden. Plug-In
...