English

Controlling Robot Morphology from Incomplete Measurements

Robotics 2016-12-09 v1 Artificial Intelligence Machine Learning Systems and Control

Abstract

Mobile robots with complex morphology are essential for traversing rough terrains in Urban Search & Rescue missions (USAR). Since teleoperation of the complex morphology causes high cognitive load of the operator, the morphology is controlled autonomously. The autonomous control measures the robot state and surrounding terrain which is usually only partially observable, and thus the data are often incomplete. We marginalize the control over the missing measurements and evaluate an explicit safety condition. If the safety condition is violated, tactile terrain exploration by the body-mounted robotic arm gathers the missing data.

Keywords

Cite

@article{arxiv.1612.02739,
  title  = {Controlling Robot Morphology from Incomplete Measurements},
  author = {Martin Pecka and Karel Zimmermann and Michal Reinštein and Tomáš Svoboda},
  journal= {arXiv preprint arXiv:1612.02739},
  year   = {2016}
}

Comments

Accepted into IEEE Transactions to Industrial Electronics, Special Section on Motion Control for Novel Emerging Robotic Devices and Systems

R2 v1 2026-06-22T17:17:44.718Z