David Cappelleri

Professor David J. Cappelleri’s research focuses on robotic and automation systems at various length scales: macro-scale (cm to m), meso-scale (~100's of um to a few mm's), micro-scale (10's of um to 100's of um), and nano-scale (nm). He is the director of the Multi-Scale Robotics and Automation Lab at Stevens in which the particular research areas of focus are multi-scale robotic manipulation and assembly tasks, mobile micro/nano robotics, bio-nano robotics, mechatronics, robotic system integration, medical robotics and devices, MEMS device design and fabrication to aid in robotics and automation tasks, and automation for the life sciences. Dr. Cappeleri’s current projects include:

  • Development of a Flexible Automation Test-bed for Meso, Micro, and Nano-scale Manipulation Tasks
  • Vision-Based µN Force Sensor Design and Fabrication for Microrobotic Applications
  • Micro and Meso-Scale Manipulation and Assembly
  • Mobile Micro/Nano Robotics
  • Automated Phototransfection (Life Sciences)

Prof. Cappelleri is a recipient of the 2009 Association for Lab Automation (ALA) Young Scientist Award. He is an active member of various professional societies and technical committees, such as: American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), IEEE Robotics and Automation Society (RAS), IEEE RAS Technical Committee on Micro/Nano Robotics and Automation, ASME Design Engineering Division Mechanisms and Robotics Committee. Dr. Cappelleri is also an organizer of the annual ASME Student Mechanism and Robot Design Competition as well as founder and organizer of the annual ASME Micro and Nano-Systems Photo Contest. Prof. Cappelleri is an associate editor for the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) as well as an avid participant and reviewer for various conferences and journals.

Research Images:
Selected Publications:
D. Cappelleri, G. Krishnan, C. Kim, V. Kumar. (May 2010). Towards the Design of a Decoupled, Two-Dimensional, Vision-Based µN Force Sensor, ASME Journal of Mechanisms and Robotics, 2 (2)
D. Cappelleri, A. Halasz, J-Y. Sul, T. Kim, J. Eberwine, and V. Kumar. (Aug 2010). Towards A Fully Automated High-Throughput Phototransfection System, Journal of the Association for Laboratory Automation (JALA), 15 329-341
D. Cappelleri. ( 2010). A novel lab and project-based learning introductory robotics course, Special Issue on Robotics Education, Computers in Education Journal (to appear)
N. Ayanian, J. Keller, D. Cappelleri, V. Kumar. ( 2010). Development of a Successful Open-ended Robotics Design Course at the High School Level, Special Issue on Robotics Education, Computers in Education Journal (to appear)
J. Sul, C. Wu, F. Zeng, J. Jochems, M. Lee, T. Kim, T. Peritz, P. Buckley, D. Cappelleri, M. Maronski, M. Kim, V. Kumar, D. Meaney, J. Kim and J. Eberwine. (May 2009). Transcriptome Transfer Produces a Predictable Cellular Phenotype, Proc. of the National Academy of Sciences (PNAS), 106 (18)
Contact Information:

David Cappelleri
dcappell@stevens.edu
Phone: 201.216.5072
E208
Castle Point on Hudson
Hoboken NJ 07030

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