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Saigopal Nelaturi

Sai Nelaturi manages the Computation for Automation in Systems Engineering area in the System Sciences Lab at PARC. The area's goal is to research and develop next-generation representation, modeling, and 
analysis tools to support automation in systems engineering, design, and fabrication. Sai's research includes intelligent automation, digital manufacturing, geometric modeling, computational design, robotics, and 
spatial computing. He is the principal investigator for two DARPA-funded projects in transforming computational design to support advances in modern manufacturing, and leads PARC's commercial engagements in PARC's key digital manufacturing partnerships.
Prior to joining PARC, he worked on mathematical foundations, computer representations, and algorithms for geometric problems in cyber-physical systems design at the Spatial Automation Laboratory, University of 
Wisconsin-Madison. Sai's earlier collaborations with General Motors Research and General Electric Research included applications in reconfigurable manufacturing, spatial planning, and non-destructive 
Dr. Nelaturi earned his Ph.D. and M.S. degrees in Mechanical Engineering from the University of Wisconsin-Madison, an M.Sc. in Manufacturing from the University of Bath in the U.K., and a B.E. in Mechanical Engineering from RV College of Engineering in Bangalore, India. Saigopal is an active musician and has released multiple collaborative albums.


PARC publications

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Additive Manufacturing of Functionally Graded Objects: A Review

ASME International Design Engineering Technical Conference

24 August 2016


Automatic Spatial Planning For Machining

IEEE Conference on Automation Science and Engineering

25 August 2015


Manufacturability Feedback And Model Correction For Additive Manufacturing

Journal of Manufacturing Science and Engineering

1 August 2014


Automated fixture configuration for rapid manufacturing planning

Computer-Aided Design, special issue on SIAM Conference on Geometric and Physical Modeling 2013

11 November 2013


Solving inverse configuration space problems by adaptive sampling

Symposium on Solid and Physical Modeling (SPM 2012), published in a special issue of Computer-Aided Design

29 October 2012




other publications

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Solving inverse configuration space problems by adaptive sampling

Computer-Aided Design, 45(2):373-382.


Non-commutative morphology: Shapes, filters, and convolutions

Computer Aided Geometric Design, 28(8):497-522

Configuration products and quotients in geometric modeling

Computer-Aided Design, 43(7):781-794.


Group morphology with convolution algebras

ACM Symposium on Solid and Physical Modeling, Proceedings of the 14th ACM Symposium on Solid and Physical Modeling, SPM 2010, Haifa, Israel

1-3 September 2010, 11-22


Configuration products in geometric modeling

Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, San Francisco, California, USA

5-8 October 2009, 247-258


Feasible spaces in weld gun selection

2008 IEEE International Conference on Automation Science and Engineering, IEEE CASE 2008, Washington, DC, USA

23 - 26 August 2008, 870-875