2,205 research outputs found
AltURI: a thin middleware for simulated robot vision applications
Fast software performance is often the focus when developing real-time vision-based control applications for robot simulators. In this paper we have developed a thin, high performance middleware for USARSim and other simulators designed for real-time vision-based control applications. It includes a fast image server providing images in OpenCV, Matlab or web formats and a simple command/sensor processor. The interface has been tested in USARSim with an Unmanned Aerial Vehicle using two control applications; landing using a reinforcement learning algorithm and altitude control using elementary motion detection. The middleware has been found to be fast enough to control the flying robot as well as very easy to set up and use
Overcoming barriers and increasing independence: service robots for elderly and disabled people
This paper discusses the potential for service robots to overcome barriers and increase independence of
elderly and disabled people. It includes a brief overview of the existing uses of service robots by disabled and elderly
people and advances in technology which will make new uses possible and provides suggestions for some of these new
applications. The paper also considers the design and other conditions to be met for user acceptance. It also discusses
the complementarity of assistive service robots and personal assistance and considers the types of applications and
users for which service robots are and are not suitable
Penalty Kick of a Humanoid Robot by a Neural-Network-Based Active Embedded Vision System
[[abstract]]This paper realizes the humanoid robotic system to execute the penalty kick (PK) of the soccer game. The proposed system includes the following three subsystems: a humanoid robot (HR) with 22 degree-of-freedom, a soccer with different colors, and a soccer gate. In the beginning, the HR scans the soccer field to find the gate and the soccer, which are randomly distributed in a specific region in the front of the gate. If a command for the PK of the soccer with specific color is assigned, the HR will be navigated by an active embedded vision system (AEVS). After the HR reaches a planned position and posture, the PK of the HR will be executed. Two key important techniques are developed and integrated into the corresponding task. One is the modeling using multilayer neural network (MNN) for different view angles, the other is the visual navigation strategy for the PK of the HR. In addition, the error sensitivities in the pan and tilt directions of these four visible regions are analyzed and compared. The proposed strategy of the visual navigation includes the following two parts: (i) the switched visible regions are designed to navigate the HR to the planned position, and (ii) the posture revision of the HR in the neighborhood of the soccer in order to execute the PK. Finally, a sequence of experiments for the PK of the HR confirm the effectiveness and efficiency of the propose methodology.[[conferencetype]]國際[[conferencelocation]]Taipei, Taiwa
Modular Customizable ROS-Based Framework for Rapid Development of Social Robots
Developing socially competent robots requires tight integration of robotics,
computer vision, speech processing, and web technologies. We present the
Socially-interactive Robot Software platform (SROS), an open-source framework
addressing this need through a modular layered architecture. SROS bridges the
Robot Operating System (ROS) layer for mobility with web and Android interface
layers using standard messaging and APIs. Specialized perceptual and
interactive skills are implemented as ROS services for reusable deployment on
any robot. This facilitates rapid prototyping of collaborative behaviors that
synchronize perception with physical actuation. We experimentally validated
core SROS technologies including computer vision, speech processing, and GPT2
autocomplete speech implemented as plug-and-play ROS services. Modularity is
demonstrated through the successful integration of an additional ROS package,
without changes to hardware or software platforms. The capabilities enabled
confirm SROS's effectiveness in developing socially interactive robots through
synchronized cross-domain interaction. Through demonstrations showing
synchronized multimodal behaviors on an example platform, we illustrate how the
SROS architectural approach addresses shortcomings of previous work by lowering
barriers for researchers to advance the state-of-the-art in adaptive,
collaborative customizable human-robot systems through novel applications
integrating perceptual and social abilities
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