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Dive into the research topics where Erik Komendera is active.

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Featured researches published by Erik Komendera.


AIAA SPACE 2012 Conference & Exposition | 2012

An Efficient and Versatile Means for Assembling and Manufacturing Systems in Space

John T. Dorsey; William R. Doggett; Robert A. Hafley; Erik Komendera; Nikolaus Correll; Bruce D. King

Within NASA Space Science, Exploration and the Office of Chief Technologist, there are Grand Challenges and advanced future exploration, science and commercial mission applications that could benefit significantly from large-span and large-area structural systems. Of particular and persistent interest to the Space Science community is the desire for large (in the 10- 50 meter range for main aperture diameter) space telescopes that would revolutionize space astronomy. Achieving these systems will likely require on-orbit assembly, but previous approaches for assembling large-scale telescope truss structures and systems in space have been perceived as very costly because they require high precision and custom components. These components rely on a large number of mechanical connections and supporting infrastructure that are unique to each application. In this paper, a new assembly paradigm that mitigates these concerns is proposed and described. A new assembly approach, developed to implement the paradigm, is developed incorporating: Intelligent Precision Jigging Robots, Electron-Beam welding, robotic handling/manipulation, operations assembly sequence and path planning, and low precision weldable structural elements. Key advantages of the new assembly paradigm, as well as concept descriptions and ongoing research and technology development efforts for each of the major elements are summarized.


ieee international conference on technologies for practical robot applications | 2014

Truss assembly and welding by Intelligent Precision Jigging Robots

Erik Komendera; John T. Dorsey; William R. Doggett; Nikolaus Correll

This paper describes an Intelligent Precision Jigging Robot (IPJR) prototype that enables the precise alignment and welding of titanium space telescope optical benches. The IPJR, equipped with μm accuracy sensors and actuators, worked in tandem with a lower precision remote controlled manipulator. The combined system assembled and welded a 2 m truss from stock titanium components. The calibration of the IPJR, and the difference between the predicted and the truss dimensions as-built, identified additional sources of error that should be addressed in the next generation of IPJRs in 2D and 3D.


3rd AIAA Spacecraft Structures Conference | 2016

In-Space Structural Assembly: Applications and Technology

W. Keith Belvin; Bill R. Doggett; Judith J. Watson; John T. Dorsey; Jay Warren; Thomas C. Jones; Erik Komendera; Troy O. Mann; Lynn Bowman

As NASA exploration moves beyond earths orbit, the need exists for long duration space systems that are resilient to events that compromise safety and performance. Fortunately, technology advances in autonomy, robotic manipulators, and modular plug-and-play architectures over the past two decades have made in-space vehicle assembly and servicing possible at acceptable cost and risk. This study evaluates future space systems needed to support scientific observatories and human/robotic Mars exploration to assess key structural design considerations. The impact of in-space assembly is discussed to identify gaps in structural technology and opportunities for new vehicle designs to support NASAs future long duration missions.


ieee international conference on technologies for practical robot applications | 2014

Assembly path planning for stable robotic construction

Michael McEvoy; Erik Komendera; Nikolaus Correll

We propose an algorithmic approach for assembly path planning that takes stability of the structure during construction into account. Finite Element Analysis (FEA) is used to evaluate the intermediate stages of the assembly for stability. The algorithm presented here assembles a structure by greedily taking the most stable option at each step in the assembly process, and has complexity O(n!), albeit most structures are effectively assembled with complexity O(n2). We demonstrate the workings of the proposed hybrid discrete/FEA search algorithm in simulation on a series of truss structures. In particular, we show that the algorithm is able to identify correct orderings that led to stable assembly, and discuss structures for which a greedy approach with scaffolding might be advantageous over a complete approach.


Intelligent Service Robotics | 2013

Precise truss assembly using commodity parts and low precision welding

Erik Komendera; Dustin Reishus; Nikolaus Correll

Hardware and software design and system integration for an intelligent precision jigging robot (IPJR), which allows high precision assembly using commodity parts and low-precision bonding, is described. Preliminary 2D experiments that are motivated by the problem of assembling space telescope optical benches and very large manipulators on orbit using inexpensive, stock hardware and low-precision welding are also described. An IPJR is a robot that acts as the precise “jigging”, holding parts of a local structure assembly site in place, while an external low precision assembly agent cuts and welds members. The prototype presented in this paper allows an assembly agent (for this prototype, a human using only low precision tools), to assemble a 2D truss made of wooden dowels to a precision on the order of millimeters over a span on the order of meters. The analysis of the assembly error and the results of building a square structure and a ring structure are discussed. Options for future work, to extend the IPJR paradigm to building in 3D structures at micron precision are also summarized.


The International Journal of Robotics Research | 2015

Precise assembly of 3D truss structures using MLE-based error prediction and correction

Erik Komendera; Nikolaus Correll

We describe a method to construct precise truss structures from non-precise commodity parts. Trusses with precision in the order of micrometers, such as the truss of a space telescope, have previously been built using precisely machined truss connection systems. This approach is expensive, heavy, and prone to failure, e.g. when a single element is lost. In the past, we have proposed a novel concept in which non-precise commodity parts can be aligned using intelligent precision jigging robots and then welded in place. Even when using highly precise sensors and actuators, this approach can still lead to errors due to thermal expansion and structural deformation. In this paper, we describe and evaluate algorithms for generating truss assembly sequences that reduce the expected error by (1) using a heuristic to generate build sequences that reduce the expected variance, and (2) during assembly, estimating the structure’s pose using maximum likelihood estimation that combines local measurements by different intelligent precision jigging robots, improves this estimate during loop closures in the construction process, and uses this estimate to correct for errors during construction. We show through simulation and physical experiment that this combined approach reduces assembly error, enabling precision construction with commodity materials. While the model herein is based on truss structures, the proposed methods generalize to a larger class of incremental assembly problems, which exhibit continuous rather than discrete errors.


AIAA SPACE 2015 Conference and Exposition | 2015

Control System Design Implementation and Preliminary Demonstration for a Tendon-Actuated Lightweight In-Space MANipulator (TALISMAN)

Erik Komendera; William R. Doggett; John T. Dorsey; Thomas J. Debus; Kris Holub; Sean P. Dougherty

Satellite servicing is a high priority task for NASA and the space industry, addressing the needs of a variety of missions, and potentially lowering the overall cost of missions through refurbishment and reuse. However, the ability to service satellites is severely limited by the lack of long reach manipulation capability and inability to launch new devices due the end of the Space Transport System, or Space Shuttle Program. This paper describes the design and implementation of a control system for a Tendon-Actuated Lightweight In-Space MANipulator (TALISMAN), including; defining the forward and inverse kinematics, endpoint velocity to motor velocity, required cable tensions, and a proportional-integral-derivative (PID) controller. The tensions and velocities necessary to maneuver and capture small and large payloads are also discussed. To demonstrate the utility of the TALISMAN for satellite servicing, this paper also describes a satellite servicing demonstration using two TALISMAN prototypes to grasp and inspect a satellite mockup. Potential avenues for improving the control system are discussed.


AIAA SPACE and Astronautics Forum and Exposition | 2017

Initial Validation of Robotic Operations for In-Space Assembly of a Large Solar Electric Propulsion Transport Vehicle

Erik Komendera; John T. Dorsey

Developing a capability for the assembly of large space structures has the potential to increase the capabilities and performance of future space missions and spacecraft while reducing their cost. One such application is a megawatt-class solar electric propulsion (SEP) tug, representing a critical transportation ability for the NASA lunar, Mars, and solar system exploration missions. A series of robotic assembly experiments were recently completed at Langley Research Center (LaRC) that demonstrate most of the assembly steps for the SEP tug concept. The assembly experiments used a core set of robotic capabilities: long-reach manipulation and dexterous manipulation. This paper describes cross-cutting capabilities and technologies for in-space assembly (ISA), applies the ISA approach to a SEP tug, describes the design and development of two assembly demonstration concepts, and summarizes results of two sets of assembly experiments that validate the SEP tug assembly steps.


IEEE Transactions on Aerospace and Electronic Systems | 2015

Efficiently evaluating reachable sets in the circular restricted 3-body problem

Erik Komendera; Joshua Garland; Elizabeth Bradley; Daniel J. Scheeres

In space mission trajectory planning in dynamic environments, such as at asteroids, scenarios leading to failure must be discovered. Given an initial state of a spacecraft about an asteroid, failure can be simply quantified as impact of the vehicle with the asteroid or escape of the vehicle from the asteroid. For mission planning and execution purposes it is necessary to perform maneuvers to avoid such outcomes, however the overall set of possible maneuvers that either avoid impact or escape can be a complex set that cannot be analytically characterized. This paper introduces a reachable set explorer (RSE) for exploring the reachable set of a spacecraft-the set of trajectories under a range of ΔV expenditures. This approach is applied to the circular restricted 3-body problem (CR3BP) where a brute-force approach is intractable. RSE focuses on the boundaries between impact, escape, and in-system regions, known as the end-result regions.


national conference on artificial intelligence | 2012

Intelligent computation of reachability sets for space missions

Erik Komendera; Daniel J. Scheeres; Elizabeth Bradley

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Nikolaus Correll

University of Colorado Boulder

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Daniel J. Scheeres

University of Colorado Boulder

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Elizabeth Bradley

University of Colorado Boulder

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Dustin Reishus

University of Colorado Boulder

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Joshua Garland

University of Colorado Boulder

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Lynn Bowman

Langley Research Center

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