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The TUM walking machines.

Friedrich Pfeiffer1

  • 1Institute of Applied Mechanics, Technical University Munich, 85748 Garching, Germany. pfeiffer@amm.mw.tum.de

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 7, 2006
PubMed
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Walking: technology and biology.

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Researchers detail walking machine design, focusing on iterative development and neurobiologically inspired control. The six-legged MAX achieved high autonomy, while the biped JOHNNIE utilized a vision system for partial autonomy.

Area of Science:

  • Robotics
  • Biomechanical Engineering
  • Artificial Intelligence

Background:

  • Walking machines represent a significant challenge in robotics.
  • Iterative design processes are crucial for complex machine development.
  • Neurobiological principles offer insights into autonomous control systems.

Purpose of the Study:

  • To present key aspects of walking machine design.
  • To emphasize the iterative design process and control strategies.
  • To detail the development of the biped JOHNNIE and its vision system.

Main Methods:

  • Iterative design and layout improvement.
  • Event-driven control concepts based on neurobiological findings.
  • Development of a vision system with decision algorithms for bipedal autonomy.

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Main Results:

  • Successful development of three walking machines (MAX, MORITZ, JOHNNIE).
  • Achieved near-perfect autonomy in the six-legged MAX machine.
  • Realized partial autonomy in the biped JOHNNIE through an advanced vision system.

Conclusions:

  • Iterative design and neurobiologically inspired control are effective for walking machine development.
  • Autonomy in legged robots can be achieved through sophisticated control and sensing.
  • The biped JOHNNIE exemplifies advancements in autonomous bipedal locomotion.