Extended control of walking motion for use in an autonomous robot platform

2015 ◽  
Vol 6 (4) ◽  
pp. 137 ◽  
Author(s):  
Victor Vladareanu ◽  
Paul Schiopu ◽  
Mingcong Deng ◽  
Hongnian Yu
Keyword(s):  
Autonomous Robot ◽  
Walking Motion ◽  
Robot Platform

Integration of semantic vision techniques for an autonomous robot platform

2010 ◽  
Author(s):  
Charles M. Felps ◽  
Michael H. Fick ◽  
Keegan R. Kinkade ◽  
Jeremy Searock ◽  
Jenelle Armstrong Piepmeier
Keyword(s):  
Autonomous Robot ◽  
Robot Platform

scholarly journals Study of Indoor Visual SLAM System for Semi-autonomous Robot Platform

2021 ◽  
Vol 06 (11) ◽  
Author(s):  
Yeon Taek OH ◽  
Keyword(s):  
Autonomous Robot ◽  
Visual Slam ◽  
Visual Landmarks ◽  
Line Segments ◽  
Plücker Coordinates ◽  
Robot Platform

This study propose the use of heterogeneous visual landmarks, points and line segments, to achieve effective cooperation in indoor SLAM environments. In order to achieve un-delayed initialization required by the bearing-only observations, the well-known inverse-depth parameterization is adopted to estimate 3D points. Similarly, to estimate 3D line segments, we present a novel parameterization based on anchored Plücker coordinates, to which extensible endpoints are added

scholarly journals Embedded out-of-distribution detection on an autonomous robot platform

2021 ◽  
Author(s):  
Michael Yuhas ◽  
Yeli Feng ◽  
Daniel Jun Xian Ng ◽  
Zahra Rahiminasab ◽  
Arvind Easwaran
Keyword(s):  
Autonomous Robot ◽  
Robot Platform

Developing a Kinematic Estimation Model for a Climbing Mobile Robotic Welding System

2010 ◽  
Author(s):  
Aaron T. O’Toole ◽  
Stephen L. Canfield
Keyword(s):  
Kinematic Model ◽  
Robotic Welding ◽  
Estimation Model ◽  
Mobile Platforms ◽  
Low Profile ◽  
Turning Radius ◽  
Equivalence Model ◽  
Kinematic Equivalence ◽  
Welding System ◽  
Robot Platform

Skid steer tracked-based robots are popular due to their mechanical simplicity, zero-turning radius and greater traction. This architecture also has several advantages when employed by mobile platforms designed to climb and navigate ferrous surfaces, such as increased magnet density and low profile (center of gravity). However, creating a kinematic model for localization and motion control of this architecture is complicated due to the fact that tracks necessarily slip and do not roll. Such a model could be based on a heuristic representation, an experimentally-based characterization or a probabilistic form. This paper will extend an experimentally-based kinematic equivalence model to a climbing, track-based robot platform. The model will be adapted to account for the unique mobility characteristics associated with climbing. The accuracy of the model will be evaluated in several representative tasks. Application of this model to a climbing mobile robotic welding system (MRWS) is presented.

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