Operational Space Medicine

Author(s):  
Philip C. Stepaniak ◽  
Akiko Matsumoto
2005 ◽  
Vol 56 (9-12) ◽  
pp. 831-838 ◽  
Author(s):  
Andrew W. Kirkpatrick ◽  
Savvas Nicolaou ◽  
Kevin Rowan ◽  
David Liu ◽  
Johan Cunningham ◽  
...  

Author(s):  
Philip C. Stepaniak ◽  
Akiko Matsumoto

2011 ◽  
pp. 257-304 ◽  
Author(s):  
Gilles Clément

2021 ◽  
pp. 601-624
Author(s):  
Philip C. Stepaniak ◽  
Akiko Matsumoto

Author(s):  
Kris See

What will be the future of medicine a decade from now? What difficulties related with preventing, detecting, and treating diseases will have been unraveled? How will space medicine make an impact?. Today as compared to previously, it is the role of space medicine to gear up astronauts sufficiently for their missions and also to maintain their health in good condition. Moreover, the exclusive and new environmental surroundings existing in space continuously propose prospects to validate theories and assumptions established by earth-based medicine and recognize likely mistakes and disparities, as we have been observing approximately more than a decade with outcomes for example, from the International Space Station.


2017 ◽  
Vol 51 (2) ◽  
pp. 58-63
Author(s):  
O.I. Orlov ◽  
◽  
M.S. Belakovskiy ◽  
I.P. Ponomareva ◽  
◽  
...  
Keyword(s):  

2017 ◽  
Vol 51 (1) ◽  
pp. 70-78
Author(s):  
I.V. Ivanov ◽  
◽  
Е.А. Praskurnichiy ◽  

2014 ◽  
Vol 20 (16) ◽  
pp. 2791-2796 ◽  
Author(s):  
Anil Kulkarni ◽  
Alamelu Sundaresan ◽  
Muhammad Rashid ◽  
Shigeru Yamamoto ◽  
Francisco Karkow

Robotica ◽  
2021 ◽  
pp. 1-12
Author(s):  
Paolo Di Lillo ◽  
Gianluca Antonelli ◽  
Ciro Natale

SUMMARY Control algorithms of many Degrees-of-Freedom (DOFs) systems based on Inverse Kinematics (IK) or Inverse Dynamics (ID) approaches are two well-known topics of research in robotics. The large number of DOFs allows the design of many concurrent tasks arranged in priorities, that can be solved either at kinematic or dynamic level. This paper investigates the effects of modeling errors in operational space control algorithms with respect to uncertainties affecting knowledge of the dynamic parameters. The effects on the null-space projections and the sources of steady-state errors are investigated. Numerical simulations with on-purpose injected errors are used to validate the thoughts.


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