We present a novel heuristic search framework, called Multi-Heuristic A* (MHA*), that simultaneously uses multiple, arbitrarily inadmissible heuristic functions and one consistent heuristic to search for complete and bounded suboptimal solutions. This simplifies the de- sign of heuristics and enables the search to effectively combine the guiding powers of different heuristic func- tions. We support these claims with experimental results on full-body manipulation for PR2 robots
It is well-known that while strict admissibility of heuristics in problem solving guarantees the opt...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...
This article explains the single-search-based heuristics for multiobjective optimization. The most p...
We present a novel heuristic search framework, called Multi-Heuristic A * (MHA*), that simultaneousl...
Recently, several researchers have brought forth the bene-fits of searching with multiple (and possi...
The performance of heuristic search based planners depends heavily on the quality of the heuristic f...
Search in general, and heuristic search in particular, is at the heart of many Artificial Intelligen...
Abstract—Many motion planning problems in robotics are high dimensional planning problems. While sam...
Heuristic functions for single-agent search applications esti-mate the cost of the optimal solution....
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
Recently, a number of papers have shown that for many domains, using multiple heuristics in inde-pen...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
Heuristic searches such as A* search are a popular means of finding least-cost plans due to their ge...
The work described in this paper presents a new frame-work for heuristic search where the task is to...
It is well-known that while strict admissibility of heuristics in problem solving guarantees the opt...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...
This article explains the single-search-based heuristics for multiobjective optimization. The most p...
We present a novel heuristic search framework, called Multi-Heuristic A * (MHA*), that simultaneousl...
Recently, several researchers have brought forth the bene-fits of searching with multiple (and possi...
The performance of heuristic search based planners depends heavily on the quality of the heuristic f...
Search in general, and heuristic search in particular, is at the heart of many Artificial Intelligen...
Abstract—Many motion planning problems in robotics are high dimensional planning problems. While sam...
Heuristic functions for single-agent search applications esti-mate the cost of the optimal solution....
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
There are numerous optimisation problems for which heuristics are currently the only practical solut...
Recently, a number of papers have shown that for many domains, using multiple heuristics in inde-pen...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
Heuristic searches such as A* search are a popular means of finding least-cost plans due to their ge...
The work described in this paper presents a new frame-work for heuristic search where the task is to...
It is well-known that while strict admissibility of heuristics in problem solving guarantees the opt...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...
This article explains the single-search-based heuristics for multiobjective optimization. The most p...