The French Military Robotic Study Program (introduced in Aerosense 2003), sponsored by the French Defense Procurement Agency and managed by Thales as the prime contractor, focuses on about 15 robotic themes which can provide an immediate "operational add-on value".
The paper details the "automatic speed adjustment" behavior (named SYR4), developed by Giat Industries Company, which main goal is to secure the teleoperated mobility of high speed tracked vehicles on rough grounds; more precisely, the validated low level behavior continuously adjusts the vehicle speed taking into account the teleperator wish AND the maximum speed that the vehicle can manage safely according to the commanded radius of curvature.
The algorithm is based on a realistic physical model of the ground-tracks relation, taking into account many vehicle and ground parameters (such as ground adherence and dynamic specificities of tracked vehicles). It also deals with the teleoperator-machine interface, providing a balanced strategy between both extreme behaviors: a) maximum speed reduction before initiating the commanded curve; b) executing the minimum possible radius without decreasing the commanded speed. The paper presents the results got from the military acceptance tests performed on tracked SYRANO vehicle (French Operational Demonstrator).
The French Military Robotic Study Program (introduced in Aerosense 2003), sponsored by the French Defense Procurement Agency and managed by Thales as the prime contractor, focuses on about 15 robotic themes which can provide an immediate "operational add-on value".
The paper details the "constrained navigation" study (named TEL2), which main goal is to identify and test a well-balanced task sharing between man and machine to accomplish a robotic task that cannot be performed autonomously at the moment because of technological limitations. The chosen function is "obstacle avoidance" on rough ground and quite high speed (40 km/h). State of the art algorithms have been implemented to perform autonomous obstacle avoidance and following of forest borders, using scanner laser sensor and standard localization functions. Such an "obstacle avoidance" function works well most of the time, BUT fails sometimes. The study analyzed how the remote operator can manage such failures so that the system remains fully operationally reliable; he can act according to two ways: a) finely adjust the vehicle current heading; b) take the control of the vehicle "on the fly" (without stopping) and bring it back to autonomous behavior when motion is secured again.
The paper also presents the results got from the military acceptance tests performed on French 4x4 DARDS ATD.
The French Military Robotic Study Program (introduced in Aerosense 2003), sponsored by the French Defense Procurement Agency and managed by Thales Airborne Systems as the prime contractor, focuses on about 15 robotic themes which can provide an immediate "operational added value." The paper details the "robotic convoy" theme (named TEL1), which main purpose is to develop a robotic leader-follower function so that several unmanned vehicles can autonomously follow teleoperated, autonomous or on-board driven leader. Two modes have been implemented: Perceptive follower: each autonomous follower anticipates the trajectory of the vehicle in front of it, thanks to a dedicated perception equipment. This mode is mainly based on the use of perceptive data, without any communication link between leader and follower (to lower the cost of future mass development and extend the operational capabilities). Delayed follower: the leader records its path and transmits it to the follower; the follower is able to follow the recorded trajectory again at any delayed time. This mode uses localization data got from inertial measurements. The paper presents both modes with detailed algorithms and the results got from the military acceptance tests performed on wheeled 4x4 vehicles (DARDS French ATD).
The French Military Robotic Study Program (introduced in Aerosense 2003), sponsored by the French Defense Procurement Agency and managed by Thales Airborne Systems as the prime contractor, focuses on about 15 robotic themes, which can provide an immediate "operational add-on value." The paper details the "road and track following" theme (named AUT2), which main purpose was to develop a vision based sub-system to automatically detect roadsides of an extended range of roads and tracks suitable to military missions. To achieve the goal, efforts focused on three main areas:
(1) Improvement of images quality at algorithms inputs, thanks to the selection of adapted video cameras, and the development of a THALES patented algorithm: it removes in real time most of the disturbing shadows in images taken in natural environments, enhances contrast and lowers reflection effect due to films of water.
(2) Selection and improvement of two complementary algorithms (one is segment oriented, the other region based)
(3) Development of a fusion process between both algorithms, which feeds in real time a road model with the best available data.
Each previous step has been developed so that the global perception process is reliable and safe: as an example, the process continuously evaluates itself and outputs confidence criteria qualifying roadside detection. The paper presents the processes in details, and the results got from passed military acceptance tests, which trigger the next step: autonomous track following (named AUT3).
The overall characteristics of the French robotic Operational Demonstrator (OD) SYRANO are described, while the system is being currently evaluated in th Mourmelon proving ground by the French military forces. The article deals with the technical choices made to get an homogeneous OD, leading to acceptable and credible operational uses. It focuses especially on the way the transmission problem between the robot and the control station (one of well-known
shortcomings in teleoperated system) was solved, using specific equipment and high level teleoperation modes.
This article is a general introduction to one of the main robotic program launched in France over the past 10 years to improve performances of UGV for credible and reliable land operational missions. This Robotic Advanced Studies Program (RASP) began in 2000 and is investigating most of the fundamental aspects of robotics systems, through 3 mains themes: teleoperation, autonomous navigation and Operational Demonstrator SYRANO improvement. An overview of the main RASP studies is given, as well as some interesting results as an introduction to further articles.
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