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1.
Sensors (Basel) ; 20(6)2020 Mar 13.
Article in English | MEDLINE | ID: mdl-32183233

ABSTRACT

This paper presents the technological developments and the policy contexts for the project "Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring" (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a new product for autonomous and integrated ecological deep-sea monitoring. Traditional monitoring is often vessel-based and thus resource demanding. It is economically unviable to fulfill the current policy for ecosystem monitoring with traditional approaches. Thus, this project developed platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms at the Lofoten-Vesterålen (LoVe) observatory network (Norway). Visual and acoustic imaging along with standard oceanographic sensors have been combined to support advanced and continuous spatial-temporal monitoring near cold water coral mounds. Just as important is the automatic processing techniques under development that have been implemented to allow species (or categories of species) quantification (i.e., tracking and classification). At the same time, real-time outboard processed three-dimensional (3D) laser scanning has been implemented to increase mission autonomy capability, delivering quantifiable information on habitat features (i.e., for seascape approaches). The first version of platform autonomy has already been tested under controlled conditions with a tethered crawler exploring the vicinity of a cabled stationary instrumented garage. Our vision is that elimination of the tether in combination with inductive battery recharge trough fuel cell technology will facilitate self-sustained long-term autonomous operations over large areas, serving not only the needs of science, but also sub-sea industries like subsea oil and gas, and mining.


Subject(s)
Ecosystem , Environmental Monitoring/methods , Oceanography/methods , Oceans and Seas , Acoustics/instrumentation , Animals , Anthozoa/physiology , Humans , Robotics/instrumentation , Video Recording/methods
2.
IEEE Trans Haptics ; 6(3): 309-19, 2013.
Article in English | MEDLINE | ID: mdl-24808327

ABSTRACT

The goal of this study was to analyze the human ability of external force discrimination while actively moving the arm. With the approach presented here, we give an overview for the whole arm of the just-noticeable differences (JNDs) for controlled movements separately executed for the wrist, elbow, and shoulder joints. The work was originally motivated in the design phase of the actuation system of a wearable exoskeleton, which is used in a teleoperation scenario where force feedback should be provided to the subject. The amount of this force feedback has to be calibrated according to the human force discrimination abilities. In the experiments presented here, 10 subjects performed a series of movements facing an opposing force from a commercial haptic interface. Force changes had to be detected in a two-alternative forced choice task. For each of the three joints tested, perceptual thresholds were measured as absolute thresholds (no reference force) and three JNDs corresponding to three reference forces chosen. For this, we used the outcome of the QUEST procedure after 70 trials. Using these four measurements we computed the Weber fraction. Our results demonstrate that different Weber fractions can be measured with respect to the joint. These were 0.11, 0.13, and 0.08 for wrist, elbow, and shoulder, respectively. It is discussed that force perception may be affected by the number of muscles involved and the reproducibility of the movement itself. The minimum perceivable force, on average, was 0.04 N for all three joints.


Subject(s)
Arm/physiology , Differential Threshold/physiology , Discrimination, Psychological/physiology , Feedback, Sensory/physiology , Movement/physiology , Adult , Biomechanical Phenomena/physiology , Elbow Joint/physiology , Humans , Male , Pressure , Reproducibility of Results , Shoulder Joint/physiology , Wrist Joint/physiology , Young Adult
3.
Philos Trans A Math Phys Eng Sci ; 365(1850): 133-51, 2007 Jan 15.
Article in English | MEDLINE | ID: mdl-17148053

ABSTRACT

This article presents a set of methods used to support the design and control of biologically inspired walking machines. Starting with a description of the general system design idea, an example for the design of the mechanical construction, a computer supported design procedure for the control architecture and the description of a three-dimensional world model to be used as knowledge base is given. The focus of this paper is on the engineering and integration process and the interrelation between the different phases of the design process.


Subject(s)
Artificial Intelligence , Biomimetics/instrumentation , Biotechnology/trends , Cybernetics/instrumentation , Perception , Robotics/instrumentation , Walking , Animals , Equipment Design , Feedback , Humans , Technology Assessment, Biomedical
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