Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …

Motivated by the substantial achievements of Large Language Models (LLMs) in the field of
natural language processing, recent research has commenced investigations into the …

Recent progress in both AI and robotics have enabled the development of general purpose
robot platforms that are capable of executing a wide variety of complex, temporally extended …

Human-robot collaboration frequently requires extensive communication, eg, using natural
language and gesture. Augmented reality (AR) has provided an alternative way of bridging …

Classical planning systems have shown great advances in utilizing rule-based human
knowledge to compute accurate plans for service robots, but they face challenges due to the …

Robots need task planning algorithms to sequence actions toward accomplishing goals that
are impossible through individual actions. Off-the-shelf task planners can be used by …

Vision-language models (VLMs) have been applied to robot task planning problems, where
the robot receives a task in natural language and generates plans based on visual inputs …

Abstraction is an important technique utilized by humans in model building and problem
solving, in order to figure out key elements and relevant details of a world of interest. This …

Multi-robot planning (mrp) aims at computing plans, each in the form of a sequence of
actions, for a team of robots to achieve their individual goals, while minimizing overall cost …

Multirobot symbolic planning (MSP) aims at computing plans, each in the form of a
sequence of actions, for a team of robots to achieve their individual goals while minimizing …