Showing papers in "Robotics in 2019"

TL;DR: This paper provides an overview of collaborative robotics towards manufacturing applications, presenting the related standards and modes of operation and an analysis of the future trends in human–robot collaboration as determined by the authors.

TL;DR: A model based on artificial neural network algorithms was built to detect unbalanced blades in a UAV propeller and showed high accuracy, indicating a high number of correct detections and suggests the adoption of this tool to verify the operating conditions of a Uav.

TL;DR: An overview of various deep reinforcement algorithms along with instances of being applied to real-world scenarios, yielding frontier results are posited.

TL;DR: An overview of the architectures present in literature focusing on three specific aspects of HRI: the development of adaptive behavioral models, the design of cognitive architectures, and the ability to establish empathy with the user is offered.

TL;DR: One of the questionnaires reviewed here was specific to inquiring about ethical issues related to the use of social robots for therapy with children with autism, and the last one was designed to provide an assessment of expectations of participants prior to interacting with a robot.

TL;DR: The design, fabrication, and performance characterization of a new tethered robotic jellyfish, which is based on inflatable soft pneumatic composite (SPC) actuators, is presented, which suggests that faster motion with a payload can be achieved by using SPC actuators.

TL;DR: This paper compiles and analyzes some of the most current works related to upper limb prosthesis with emphasis on man-machine interfaces to facilitate future research and serve as a source for professionals related to the area of prosthesis.

TL;DR: This article investigates visual servoing for a hydraulically actuated dual-arm robot, in which the user selects the object of interest from an on-screen image, whilst the computer control system implements via feedback control the required position and orientation of the manipulators.

TL;DR: The field of space robotics regarding the kinematics, dynamics and control of manipulators mounted onto spacecraft is explored, concluding that space robotics is well-developed and sufficiently mature to tackling tasks such as active debris removal.

TL;DR: This research proposes a novel discrete continuum robot arm with a passive pre-tension mechanism that avoids the wire tension problem and describes the backbone design of the discrete continuum arm and pre-Tension mechanism structure as well as forward and inverse kinematics and kinetic solutions, with simulation results.

TL;DR: An industrial exoskeleton with high payload ratio for lifting and transportation of heavy parts is proposed, and a low-cost mechanical design solution is described, exploiting compliant actuation at the shoulder joint to increase safety in human-robot cooperation.

TL;DR: An algorithm that calculates the suboptimal movement between two positions is proposed, which automatically generates a cloud of safe via points around the workpiece and then by exploiting such points finds theSuboptimal safe path between the two positions that minimizes movement time.

TL;DR: The safety of CDPRs is addressed in proposing a strategy to minimize the consequences of cable failures by generating a wrench that is opposite to the direction of the ongoing motion so that the end-effector can reach a safe position.

TL;DR: Non-photorealistic rendering techniques that are applied together with a painting robot to realize artworks with original styles are presented and a description of the experimental set-up is carried out.

TL;DR: Initial results indicate that the new method to control the camera arm of a surgical robot and create a better sense of remote presence for the surgeon is usable, stable, and has a lower physical and mental workload when using the HMD control method.

TL;DR: A general taxonomy of potential adversarial attacks against Twitter spam detectors in an adversarial environment is presented, and a new type of spam tweet, which can be used to undermine a deployed classifier, is examined.

TL;DR: The proposed NMPC scheme utilizes a new neural network named the varying-parameter convergent differential neural network (VPCDNN) which is a Hopfifield-neural network structure with respect to the differential equation theory to solve the quadratic programming (QP) problem.

TL;DR: The findings suggest that using a social robot as a teaching assistant is promising using the chosen capabilities and Engagement Profile tool, and enhancing the robot’s autonomous capabilities and further investigating the role of embodiment are some important topics to be considered.

TL;DR: This work explores the possibility of exploiting kinematic redundancy as a tool to enhance the energetic performance of a robotic cell and shows that the suggested method can improve both the execution time and the overall energetic efficiency of the cell.

TL;DR: It is reported that a special twisted helical shape together with a high aspect ratio in cross-section permit a microrobot with a diameter of hundreds-of-micrometers to move through mouse liver tissue.

TL;DR: The main features of a wearable device composed of two robotic extra fingers are described and analyzed in terms of kinematics, statics, and mechanical resistance.

TL;DR: The goal of code-less programming is addressed and an intuitive and safe approach to physically interact with such robot systems is derived and a natural approach for hand guiding a sensitive mobile manipulator in task space using a force torque sensor that is mount close to the end effector is presented.

TL;DR: This work presents and compares different methodologies based on deep learning in order to represent and process tactile data for both stability and slip prediction in robotic grasping tasks.

TL;DR: This paper proposes the mathematical modeling, simulation, and experimental validation of a new family of climbing robots that are capable of adhering to vertical surfaces through permanent magnetic elements, with particular focus on the transitions between floor and climbing motion.

TL;DR: Joint compliances of a serial six-joint industrial robot are identified with a novel modal method making use of specific modes of vibration dominated by the compliance of only one joint and a novel kinematic method based on the concept of “Mozzi axis” of the end-effector is presented and discussed.

TL;DR: A solution based on a single LIDAR sensor to maintain a continuous identification of a person in time and space is described, based on the People Tracker package, aka PeTra, which uses a convolutional neural network to identify person legs in complex environments.

TL;DR: The results of the experiments conducted with the walk-helper have showed the automatic generation of smooth walking trajectories and a reduction in the number of manual trajectory corrections required to complete a walking displacement.

TL;DR: An assistive robot that focuses specifically on the feeding of liquids from a cup using tactile feedback through force sensors with direct human–robot interaction (HRI) and the application of reinforcement learning (RL) to learn what the best robotic actions are, based on the force applied by the user.

TL;DR: The development, construction, and implementation of a robotic airboat to measure water quality in lakes has been described, and the development of an autonomous system of acquiring water parameters from several points of the lagoon is developed.

TL;DR: The obtained results show the proposed controller design method for multivariable PID controller is robust with respect to parametric uncertainty in the plant model, disturbances acting at the plant input, and sensors measurement and estimation errors.