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 …
A review of machine learning for automated planning
Recent discoveries in automated planning are broadening the scope of planners, from toy
problems to real applications. However, applying automated planners to real-world …
problems to real applications. However, applying automated planners to real-world …
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 …
Online replanning in belief space for partially observable task and motion problems
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 …
actions to observe its environment and react to unexpected observations. This may require …
Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners
The international planning competition (IPC) is an important driver for planning research.
The general goals of the IPC include pushing the state of the art in planning technology by …
The general goals of the IPC include pushing the state of the art in planning technology by …
[PDF][PDF] PDDL2. 2: The language for the classical part of the 4th international planning competition
S Edelkamp, J Hoffmann - 2004 - courses.cs.washington.edu
This document defines the language to be used in the classical part of the 4th International
Planning Competition, IPC-4. The language comprises all of PDDL2. 1 levels 1, 2, and 3, as …
Planning Competition, IPC-4. The language comprises all of PDDL2. 1 levels 1, 2, and 3, as …
Long-horizon manipulation of unknown objects via task and motion planning with estimated affordances
We present a strategy for designing and building very general robot manipulation systems
using a general-purpose task-and-motion planner with both engineered and learned …
using a general-purpose task-and-motion planner with both engineered and learned …
Bwibots: A platform for bridging the gap between ai and human–robot interaction research
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 …
robot platforms that are capable of executing a wide variety of complex, temporally extended …
Learning generalized policies without supervision using gnns
We consider the problem of learning generalized policies for classical planning domains
using graph neural networks from small instances represented in lifted STRIPS. The …
using graph neural networks from small instances represented in lifted STRIPS. The …
The deterministic part of IPC-4: An overview
We provide an overview of the organization and results of the deterministic part of the 4th
International Planning Competition, ie, of the part concerned with evaluating systems doing …
International Planning Competition, ie, of the part concerned with evaluating systems doing …