Integrated task and motion planning
The problem of planning for a robot that operates in environments containing a large
number of objects, taking actions to move itself through the world as well as to change the …
number of objects, taking actions to move itself through the world as well as to change the …
Recent trends in task and motion planning for robotics: A survey
Autonomous robots are increasingly served in real-world unstructured human environments
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …
[图书][B] An introduction to the planning domain definition language
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about
plans, most importantly the reasoning that goes into formulating a plan to achieve a given …
plans, most importantly the reasoning that goes into formulating a plan to achieve a given …
Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning
Many planning applications involve complex relationships defined on high-dimensional,
continuous variables. For example, robotic manipulation requires planning with kinematic …
continuous variables. For example, robotic manipulation requires planning with kinematic …
[PDF][PDF] Incremental task and motion planning: A constraint-based approach.
We present a new algorithm for task and motion planning (TMP) and discuss the
requirements and abstractions necessary to obtain robust solutions for TMP in general. Our …
requirements and abstractions necessary to obtain robust solutions for TMP in general. Our …
An incremental constraint-based framework for task and motion planning
NT Dantam, ZK Kingston… - … Journal of Robotics …, 2018 - journals.sagepub.com
We present a new constraint-based framework for task and motion planning (TMP). Our
approach is extensible, probabilistically complete, and offers improved performance and …
approach is extensible, probabilistically complete, and offers improved performance and …
Ffrob: Leveraging symbolic planning for efficient task and motion planning
CR Garrett, T Lozano-Perez… - … International Journal of …, 2018 - journals.sagepub.com
Mobile manipulation problems involving many objects are challenging to solve due to the
high dimensionality and multi-modality of their hybrid configuration spaces. Planners that …
high dimensionality and multi-modality of their hybrid configuration spaces. Planners that …
[图书][B] Handbuch der künstlichen Intelligenz
G Görz, CR Rollinger, J Schneeberger - 2003 - degruyter.com
Liste der Autoren Page 1 Liste der Autoren Clemens Beckstein Gerhard Brewka Christian
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …
Ffrob: An efficient heuristic for task and motion planning
Manipulation problems involving many objects present substantial challenges for motion
planning algorithms due to the high dimensionality and multi-modality of the search space …
planning algorithms due to the high dimensionality and multi-modality of the search space …
Efficiently combining task and motion planning using geometric constraints
F Lagriffoul, D Dimitrov, J Bidot… - … Journal of Robotics …, 2014 - journals.sagepub.com
We propose a constraint-based approach to address a class of problems encountered in
combined task and motion planning (CTAMP), which we call kinematically constrained …
combined task and motion planning (CTAMP), which we call kinematically constrained …