Showing papers in "Robotics and Autonomous Systems in 2016"

TL;DR: This survey concentrates on heuristic-based algorithms in robot path planning which are comprised of neural network, fuzzy logic, nature inspired algorithms and hybrid algorithms.

TL;DR: Students reach the same level of Computational Thinking (CT) skills development independent of their age and gender, and CT skills in most cases need time to fully develop (students' scores improve significantly towards the end of the activity).

TL;DR: The major developments occurred in the history, the key milestones during the evolution and major research challenges in the present day context of hardware systems of upper-limb exoskeleton robots are presented.

TL;DR: A review for application of robotics in onshore oil and gas industry and semi-autonomous robots, where actions are performed by robots but cognitive decisions are still taken by skilled operator are presented.

TL;DR: The principles and system components for navigation and manipulation in domestic environments, the interaction paradigm and its implementation in a multimodal user interface, the core robot tasks, as well as the results from the user studies are described.

TL;DR: A 3D perception system based on voxel-grid model for static and moving obstacles detection using discriminative analysis and ego-motion information and a complete framework for ground surface estimation and static/moving obstacle detection in driving environments is proposed.

TL;DR: This work proposes a theoretical framework for ethical plan selection that can be formally verified and implements a rational agent that incorporates a given ethical policy in its plan selection and shows that the agent chooses to execute, to the best of its beliefs, the most ethical available plan.

TL;DR: A case of RoboCupJunior and the effectiveness of its practice for enhancing learning of STEM contents and skills for innovation and creativity among participating students is introduced.

TL;DR: This review of seminal works that addressed the problem of target search and tracking in the area of swarm robotics, which is the application of swarm intelligence principles to the control of multi-robot systems, finds variations of the search andtracking problem addressed in the literature.

TL;DR: This paper identifies “internal” and “external” forms of dialogical research and innovation, reflections on the possibilities and limitations of these forms of ethical–technological innovation, and explores a number of ways how they can be supported by policy at national and supranational level.

TL;DR: In this article, a real-time object-based SLAM system is presented, which leverages the largest object database to date, which consists of two main components: (1) a monocular SLAM algorithm that exploits object rigidity constraints to improve the map and find its real scale, and (2) a novel object recognition algorithm based on bags of binary words.

TL;DR: The long term evaluation of the Sacarino robot is presented, aimed to improve the robot's capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services.

TL;DR: The main contribution of this paper is the definition of an online, local path planning method by adapting animal motion attributes in order to assist human-robot interaction.

TL;DR: A metrological characterization process for time-of-flight (TOF) cameras is proposed and applied to the Microsoft Kinect V2, pointing out that performances are highly influenced by measuring conditions and environmental parameters of the scene.

TL;DR: An approach for addressing the performance of dexterous grasping under shape uncertainty is presented, the uncertainty in object shape is parametrized and incorporated as a constraint into grasp planning and the grasp planning approach is hand interchangeable.

TL;DR: In this paper, the demands for oil and gas are increasing with urbanization and industrialization of the world's increasing population, and this situation is referred to as the situation of diminishing oil fields.

TL;DR: This study aimed at developing some heuristic methods for the task allocation and collision-free path planning for three robots working in the common workspace using genetic algorithm and A* algorithm.

TL;DR: This work describes its user-friendly calibration procedure, which consists of simple steps with real-time feedback that allow to obtain accurate results in estimating the camera poses that are then used for tracking people.

TL;DR: An quantum-behaved particle swarm optimization (QPSO) algorithm is introduced for solving the optimal path planning problem of an AUV operating in environments with ocean currents.

TL;DR: The trajectory tracking of the WMR is converted to a problem of the stabilization of a double integral system, and a continuous finite-time control method is employed to design a tracking controller that yields the ultimate boundedness of both the tracking error and the adaptive gain.

TL;DR: The design and results of an empirical study investigating the impact of educational robotics on technical skills, social skills as well as on science related attitudes and interests of pupils are presented.

TL;DR: Experimental results in simulated and real environments show that, depending on the environment, applying POMDP based planning for exploration can improve performance over frontier exploration.

TL;DR: In this manuscript, an adaptive control with a dynamic anti-windup compensator is proposed for an Autonomous Underwater Vehicle (AUV) and is embedded with a Proportional-Derivative-Integral (PID) controller.

TL;DR: This paper exploits screw theory expressed via unit dual quaternion representation and its algebra to formulate both the forward (position+velocity) kinematics and pose control of an n -dof robot arm in an efficient way.

TL;DR: This paper proposes a lightweight and accurate ConvNet for detecting traffic signs and explains how to implement the sliding window technique within the ConvNet using dilated convolutions, and further optimize the previously proposed real-time Conv net for the task of traffic sign classification and make it faster and more accurate.

TL;DR: The experiment results show that the robust terminal sliding mode control approach combined with the nonlinear observer has a significant advantage with respect to the position tracking and robustness regarding the modeling identification errors and external disturbances.

TL;DR: A second order formation dynamic model is developed based on the leader-following strategy and a neural adaptive formation controller is proposed for surface vessels that inherits all properties of vessel dynamics.

TL;DR: A numerical approach to estimate the total skip/overlap areas is developed and applied to determine the optimum-driving angle that minimizes this impact, and a novel side-to-side 3D coverage path planning approach, which ensures zero skips/overlaps regardless of the topographical nature of the field terrain, is developed.

TL;DR: Two reactive evolutionary algorithms, and four reactive, swarm intelligence-based algorithms (bat, hybrid bat, particle swarm optimization and cuckoo search), were used to tune the PID controller in a comparative study and showed that particle swarm optimize is the best option for such a task.

TL;DR: Integral Admittance Shaping is presented, a unified mathematical framework for determining the desired dynamic response of the coupled system formed by the human limb and the exoskeleton, and synthesizing an exos skeleton controller capable of achieving said response.