TL;DR: This paper covers the very first robotic gripper to the newest developments in grasping methods, and focuses on the applications of robotic grippers in industrial, medical, for fragile objects and soft fabrics grippers.
TL;DR: A detailed review of wall climbing robots categorizing them into six distinct classes based on the adhesive mechanism that they use is presented, expanding beyond adhesive mechanisms by discussing a set of desirable design attributes of an ideal glass facade cleaning robot.
TL;DR: This paper presents a post-earthquake response system for a rapid damage assessment that is an extension of well-known coverage path problem (CPP) that is based on the grid pattern map decomposition and two mathematic formulations, 4-index and 5-index models, are proposed in the approach and coded in GAMS.
TL;DR: A soft pneumatic bending actuator with an integrated carbon nanotube position sensor has been developed that is flexible and well suited to measuring the large displacements frequently encountered in soft robotics.
TL;DR: This paper presents a child-sized humanoid robot (HBS-1) intended primarily for children’s education and rehabilitation based on the design for manufacturing (DFM) and design for assembly (DFA) philosophies to realize the robot fully using additive manufacturing.
TL;DR: A control architecture for autonomous sailboat navigation is discussed and a sailboat prototype built for experimental validation of the proposed architecture is presented, to allow long endurance autonomous missions, such as ocean monitoring.
TL;DR: This paper presents a method to generate input trajectory for reconfigurable quadruped robots based on Klann mechanism to properly synchronize movement and validates the platform stability for these six useful gait cycles which clearly shows the capabilities of reconfiguring design.
TL;DR: This paper describes a methodology for the use of heterogeneous and incomplete knowledge, through an algorithm based on naive Bayes classifier, which was successfully applied to two different experiments of human-robot interaction.
TL;DR: Simulation results demonstrate the effectiveness of implementing coordination algorithms based on the behavioural mechanisms of fish to allow a group of BAUVs to be considered self-organizing.
TL;DR: Here, a new autonomous platform is demonstrated, where data are collected, analyzed, and data products are output in real-time to inform autonomous decision-making and allow for enhanced and informed sampling towards improving the understanding of the marine environment.
TL;DR: A simulated space problem of cleaning the debris from orbit is proposed for the latest IDC Robocon competition in detail and course of events and results in terms of the educational experience are discussed.
TL;DR: physical experiments conducted in different terrains and different lighting conditions, confirm the satisfactory performance of this approach in comparison with a simple color-based classifier based only on frontal images.
TL;DR: A novel terrain perception system for the authors' bioinspired robot, Scorpio, to classify the terrain based on visual features and autonomously choose appropriate locomotion mode and achieve recognition accuracy of over 90% across four terrain types namely grass, gravel, wooden deck, and concrete.
TL;DR: A novel method to estimate physical human-robot interaction using a pneumatic padding based on artificial neural networks (ANNs) to serve as rough indicator of applied forces/torques by the user and can be applied for visual feedback about the user’s participation or as additional information for interaction controllers.
TL;DR: A high-precision vibration measurement system based on machine vision is designed using the improved algorithm based on gradient Hough transform to measure vibration in Cartesian space from the image feature changes.
TL;DR: This paper specifies three fundamental distinctions that can be used to characterize many existing explanation generation systems and compares the capabilities of two systems that differ substantially along these axes, using execution scenarios involving a robot waiter assisting in seating people and delivering orders in a restaurant.
TL;DR: A Matlab-based testbed that aims to centralize and standardize this variety of both current and prospective stereo matching approaches, and to facilitate the application of stereo-based methods to real situations.
TL;DR: This study proposes a novel method for a binaural humanoid robot head to estimate room volume based on the statistical properties of the short-term interaural phase differences (IPDs) of sound pressure.
TL;DR: An analysis of existing swarm control environments is provided and a software environment that facilitates a rapid deployment of multiple robotic agents is proposed that exploits the utility-based task allocation algorithm.
TL;DR: A computational approach is used to develop a bio-inspired architecture for vision-based Leader-Follower formation flying on two micro-UAVs and it is believed that the minimal computational cost of the resulting algorithm makes it suitable for object detection and tracking during high-speed flocking.
TL;DR: This paper discusses a strategy by which a robotic hand can use the physical properties of a fabric to pinch the fabric with a combination of wiping deformation and residual deformation of the fabric under unloaded conditions.
TL;DR: The ability of the robot to autonomously change its colour in relation to the terrain that it is traversing for maximizing detectability to friendly security agents and minimizing exposure to hostile agents, as well as to communicate with fellow cooperating robots is validated.
TL;DR: A classification of robots that are bio-inspired by spider joints is presented and the biomimetic robot applications referring to the spider principle are identified and discussed.
TL;DR: This paper reviews recent research and development in the field of visual-based semantic mapping and places the main focus on how to extract semantic information from visual data in terms of feature extraction, object/place recognition and semantic representation methods.
TL;DR: An automatic calibration procedure adopted to improve the localization of an outdoor mobile robot, by using an extended Kalman filter, the main kinematic parameters of the vehicles, such as the wheel radii and the wheelbase as well as the magnetometer offset is described.