Task and motion planning (TAMP) integrates high-level task planning and low-level motion
planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic …

Actuator failure on a remotely deployed robot results in decreased efficiency or even renders
it inoperable. Robustness to these failures will become critical as robots are required to be …

Typical robotic systems rely on models for planning. Therefore, the quality of the robot's
behavior is heavily dependent on how accurately the model can predict the outcome of the …

Task and motion planning represents a powerful set of hybrid planning methods that
combine reasoning over discrete task domains and continuous motion generation …

Recent work in Task and Motion Planning (TAMP) has enabled a new class of algorithms
that can better take advantage of off-the-shelf samplers and solvers to find solutions to sub …

Recent work in Task and Motion Planning (TAMP) has enabled a new class of algorithms to
better take advantage of off-the-shelf black-box samplers and solvers to find plans. However …

Future robotic deployments will require multiple heterogeneous robots to be sent to different
places, solving various complex tasks over long horizons. The robots must have the ability to …

Many modern robotic systems rely on models to complete their tasks. A model captures all
aspects of the environment relevant to the robot, and enables the robot to predict the result …