2nd UMD Workshop on Distributed Sensing, Actuation, and Control for Bio-inspired Soft Robotics

Abstract

The 2nd UMD Workshop on Distributed Sensing, Actuation, and Control for Bio-inspired Soft Robotics was held at the University of Maryland, College Park, MD, on October 3, 2016, co-chaired by Derek Paley (U. Maryland) and Carmel Majidi (Carnegie Mellon). The workshop brought together about 35 scientists, mathematicians, and engineers from a range of STEM disciplines (e.g., neurobiology, applied mathematics, and control theory) for discussions on the fundamental challenges of distributed sensing, actuation, and control of hyperelastic continua. The workshop lasted one day and included a number of short talks and a social event. The talks were organized into four sessions; Sessions 2-4 included a twenty-minute panel discussion at the end of the talks. In this way, the workshop emphasized working discussions on the cutting-edge open research questions rather than research presentations on the state-of-the-art. The meeting brought together researchers from engineering and biological perspectives, academia and government. Additional support was provided by the University of Maryland Department of Aerospace Engineering and the Maryland Robotics Center.

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Document Details

Document Type
Technical Report
Publication Date
Mar 13, 2017
Accession Number
AD1058888

Entities

People

  • Carmel Majidi
  • Derek Paley

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Additive Manufacturing
  • Applied Mathematics
  • Chemistry
  • Control Theory
  • Department Of Defense
  • Engineering
  • Engineers
  • Fabrication
  • Filaments
  • Materials
  • Materials Processing
  • Materials Science
  • Mathematics
  • Mechanics
  • Optical Detection
  • Robotics
  • Robots
  • Soft Robotics
  • Universities
  • Unmanned Vehicles

Readers

  • Academic Conference Management
  • Research Science/Academic Research
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers