Asymptotically optimal sampling-based motion planning methods
Motion planning is a fundamental problem in autonomous robotics that requires finding a
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …
Planning with state abstractions for non-markovian task specifications
Often times, we specify tasks for a robot using temporal language that can also span
different levels of abstraction. The example command``go to the kitchen before going to the …
different levels of abstraction. The example command``go to the kitchen before going to the …
Chance-constrained multilayered sampling-based path planning for temporal logic-based missions
This article introduces a robust and safe path planning algorithm in order to satisfy mission
requirements specified in linear temporal logic (LTL). When a path is planned to accomplish …
requirements specified in linear temporal logic (LTL). When a path is planned to accomplish …
Hierarchical planning with state abstractions for temporal task specifications
We often specify tasks for a robot using temporal language that can include different levels
of abstraction. For example, the command “go to the kitchen before going to the second …
of abstraction. For example, the command “go to the kitchen before going to the second …
Robust Multi-Objective Path Planning for Flying Robots under Wind Disturbance
This paper proposes a robust multi-objective path planning algorithm for flying robots
carrying out complex missions. When a robot is put into the field, the robot is required to …
carrying out complex missions. When a robot is put into the field, the robot is required to …