Abstract We review the 2014 International Planning Competition (IPC-2014), the eighth in a
series of competitions starting in 1998. IPC-2014 was held in three separate parts to assess …

Modern robots are increasingly capable of performing “basic” activities such as localization,
navigation, and motion planning. However, for a robot to be considered intelligent, we would …

The need for combined task and motion planning in robotics is well understood. Solutions to
this problem have typically relied on special purpose, integrated implementations of task …

Planning is the model-based approach to autonomous behavior where the agent behavior is
derived automatically from a model of the actions, sensors, and goals. The main challenges …

We describe an integrated strategy for planning, perception, state estimation and action in
complex mobile manipulation domains based on planning in the belief space of probability …

In shared autonomy, a user and autonomous system work together to achieve shared goals.
To collaborate effectively, the autonomous system must know the user's goal. As such, most …

Robotic planning problems in hybrid state and action spaces can be solved by integrated
task and motion planners (TAMP) that handle the complex interaction between motion-level …

Abstract³ We cast the partially observable control problem as a fully observable
underactuated stochastic control problem in belief space and apply standard planning and …

To solve multi-step manipulation tasks in the real world, an autonomous robot must take
actions to observe its environment and react to unexpected observations. This may require …

In shared autonomy, user input and robot autonomy are combined to control a robot to
achieve a goal. Often, the robot does not know a priori which goal the user wants to achieve …