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Simulation of unmanned underwater vehicles (UUVs) plays an important role in the development of submarine robots. The test of controllers in different simulated scenarios is crucial in order to avoid the lengthy development on the real vehicle. Robot simulators like Gazebo have been extensively used for this purpose, even if off-the-shelf physic engines do not consider one of the main aspects of hydrodynamics:...
This paper considers the application of finite-time control to a Cucker-Smale flocking model of autonomous agents with collision avoidance. A mathematical expression for the upper bound on the flocking time is derived. Previous results without considering collision avoidance showed that the flocking time decreases as the number of robots in the flock increases, which is counter-intuitive. We showed...
Most of the available robot programming by demonstration (PbD) approaches focus on learning a single task, in a given environmental situation. In this paper, we propose to learn multiple tasks together, within a common environment, using one of the available PbD approaches. Task-parameterized Gaussian mixture model (TP-GMM) is used at the core of the proposed approach. A database of TP-GMMs will be...
In this article, a new method is presented in order to increase node dispersion on RRTs. This approach allows for a better environment representation, reducing the amount of nodes in the tree. The proposed RRT differs from Classic RRT by an insertion of a new node-tree connection method. The proposed affixing rule uses a tree whose edges are of variable length, which more rapidly explores the environment's...
The human visual system employs an information selection mechanism, visual attention, so that higher-level cognitive processes can be restricted to a potentially important subset of the incoming information. This mechanism is amenable to efficient computational implementation and, consequently, it has been incorporated into many technological applications. Among these applications is autonomous mobile...
Handling of deformable objects with industrial robots holds many unresolved challenges. Especially, describing and predicting the deformed state is computationally expensive and therefore difficult under the requirements of manufacturing environments. A concept for a simulation-based approach towards bin picking of deformable objects, is presented in this paper. The emphasis of the approach lies on...
Vision is a potent source of information, not just for humans, but for robots as well. Processing visual information is a computationally expensive task, one that is often difficult to accomplish in real-time on embedded hardware. In the broad field of visual research exists egomotion estimation, the process of determining self-motion from optical flow. Here we show a technological adaptation and...
In the modern industry, human-robot collaboration is becoming more and more important. With the quick development of the small production, the demand of flexibility is growing heavily. Gesture recognition is important for the collaborative work of humans and robots. In industrial applications, the performance of such systems affects the safety of human workers and their manufacturing efficiency. In...
Body segment inertial parameters of an exoskeleton and human being are of crucial importance for the development of model-based controllers and for the monitoring of rehabilitation processes. These parameters are usually provided using Computer Aided Design (CAD) models or averaged Anthropometric Tables (AT) for human. However, CAD models are often not sufficiently accurate and particularly if the...
This work addresses a technique for robot motion planning and navigation in dynamic environments. First, a model to represent the future evolution of the moving obstacles in the environment is defined in a robocentric reference, which maps the obstacle motion on the control space, the velocity-time space, of the robot. Second, a planning technique working on that model for navigation and maneuvering...
This paper discusses numerical experiments by the fast computation method of hydraulic robot dynamics. This paper shows a new proposed model with a special nondmensional representation which is based on the proposed model. The four methods are compared with each other with respect to computation time.
Flying snakes of the species Chrysopelea paradisi glide without the use of limbs. These gliders use the speed of free fall and the change in their body shape to generate lift. Despite their lack of appendages, their ability to glide has piqued the interest of many. Hence, modeling the flight of these snakes has received considerable attention in the recent past. Experimental studies have been done...
In this work we present a Bayesian User Model for inferring the characteristics and inter-user patterns of a population users. The model can receive evidence gathered by various interactive devices, such as social robots or wearable devices. The system is modular, with each module being responsible for gathering information and observations from persons present in the system's operation scenario....
We present a system for temporal detection of social interactions. Many of the works until now have succeeded in recognising activities from clipped videos in datasets, but for robotic applications, it is important to be able to move to more realistic data. For this reason, the proposed approach temporally detects intervals where individual or social activity is occurring. Recognition of human activities...
Reconstructing a 3D model of an unknown object via incremental registration of multiple appearance models is a challenging task. With availability of low cost sensors and robust algorithms, the field of visual scene reconstruction has advanced considerably. While these advances has enabled robust reconstructions of cluttered and unstructured scenes, an active 3D reconstruction of a generic handheld...
Variable stiffness actuation is a new design paradigm for high performance and energy efficient robots with inherent safety features. Nonlinear model predictive control (NMPC) was employed to control these robots due to its ability to cope with constrained and nonlinear systems. Even though the results for NMPC are promising, one major weakness is the computational cost of this algorithm. It restricts...
Generating a proper simulation model out of a CAD tool for virtual commissioning is a challenging task. Several standard file formats and customized data structure are meant to represent every aspect of the simulation model, which are visualization, physics and kinematics. COLLADA is one of the promising 3D formats, which will be examined in this paper. However, it still lacks a convenient method...
We report on a novel low-computation object grasping method that can classify complex objects into primitive shapes and then select the object grasping posture based on predefined grasping postures associated with the approximated primitive shapes. In this approach, the object is not precisely modeled, and the grasping posture is selected from a small number of candidates without massive search; thus,...
This paper offers a new approach to learning discrete models for human-robot interaction (HRI) from small data. In the motivating application, HRI is an integral part of a pediatric rehabilitation paradigm that involves a play-based, social environment aiming at improving mobility for infants with mobility impairments. Designing interfaces in this setting is challenging, because in order to harness,...
This paper describes a model-based test generation approach for testing Urban Search and Rescue (USAR) robots interacting with their environment (i.e., world). Unlike other approaches that assume a static world with attributes and values, we present and test a dynamic world. We use Petri Nets to illustrate a world model that describes behaviors of environmental entities (i.e., actors). The Abstract...
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