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Anand Swaminathan

dblp:01/98 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2014
0000-0002-0307-1942ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 56% Motion planning and robot control · 44%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
assembly planning		 0.011996
An experience-based assembly sequence planner for mechanical assemblies · IEEE Trans. Robotics Autom. 1996
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › knowledge-based planning
case-based planning		 0.011996
An experience-based assembly sequence planner for mechanical assemblies · IEEE Trans. Robotics Autom. 1996
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning
plan reuse		 0.011996
An experience-based assembly sequence planner for mechanical assemblies · IEEE Trans. Robotics Autom. 1996

Methods — techniques the papers use, named apart from their topics

plan retrieval and fusion · 0.0case-based reasoning · 0.0
YearPublicationVenuePosition
2014 Edge detection for illumination varying images using wavelet similarity
abstract
This study presents a new method of edge detection (ED) in illumination varying images. The undesirable dependence because of uneven illumination is crucial in image ED. The proposed algorithm avoids this problem by incorporating a new weighted least‐square regularisation with the wavelet filter directional responses. In order to obtain the edge information, the similarity between image neighbourhood pixels and wavelet filter is measured. This new method accomplishes the benefits of wavelets, which includes multi‐scale, and wider design choice in the filter length. Figure of merit ( F ) and structural similarity index qualitatively compares its performances. The subjective and objective results describes that this algorithm performs better than other methods.
Anand Swaminathan, R. Shantha Selva Kumari
 IET Image Process.1
1996 An experience-based assembly sequence planner for mechanical assemblies
abstract
This paper presents an approach to the assembly sequence planning problem based on a "plan reuse" philosophy. Most of assembly planning research in the past has attempted to completely plan each problem from scratch. This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small. In the first phase of planning (EVALUATOR phase), the assembly is divided into a number of constituent configurations, which are called "loops". These act as subgoals in its search for solutions (RETRIEVER phase). Plans retrieved for all the subgoals are fused into a set of plans that are consistent with the constraints implied by each plan (MODIFIER and COMPOSITER phases). Application specific constraints on the assembly are explicitly handled in the final phase of planning (POSTPROCESSOR phase).
Anand Swaminathan, K. Suzanne Barber
 IEEE Trans. Robotics Autom.1
1995 APE: An Experience-Based Assembly Sequence Planner for Mechanical Assemblies
abstract
This paper presents an approach to the assembly sequence planning problem based on a "plan reuse" philosophy, called the Assembly Planner using Experience (APE). Assembly planning research in the past has attempted to completely plan each problem from scratch. This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small. Constraints affecting the assembly are also explicitly handled.
Anand Swaminathan, K. Suzanne Barber
 ICRA1