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This paper presents a new method for parallel-jaw grasping of isolated objects from depth images, under large gripper pose uncertainty. Whilst most approaches aim to predict the single best grasp pose from an image, our method first predicts a score for every possible grasp pose, which we denote the grasp function. With this, it is possible to achieve grasping robust to the gripper's pose uncertainty,...
We present an approach for recognizing indoor scenes in object constellations that require object search by a mobile robot, as they cannot be captured from a single viewpoint. In our approach that we call Active Scene Recognition (ASR), robots predict object poses from learnt spatial relations that they combine with their estimates about present scenes. Our models for estimating scenes and predicting...
In a robot mounted camera arrangement, hand-eye calibration estimates the rigid relationship between the robot and camera coordinate frames. Most hand-eye calibration techniques use a calibration object to estimate the relative transformation of the camera in several views of the calibration object and link these to the forward kinematics of the robot to compute the hand-eye transformation. Such approaches...
Autonomous robots and humans need to create a coherent 3D representation of their peripersonal space in order to interact with nearby objects. Recent studies in visual neuroscience suggest that the small coordinated head/eye movements that humans continually perform during fixation provides useful depth information. In this work, we mimic such a behavior on a humanoid robot and propose a computational...
Eye tracking technology has shown promising results for allowing hands-free control of robotically-mounted cameras and tools. However existing systems present only limited capabilities in allowing the full range of camera motions in a safe, intuitive manner. This paper introduces a framework for the recognition of surgeon intention, allowing activation and control of the camera through natural gaze...
This paper considers the problem of controlling a formation of quadrotor UAVs equipped with onboard cameras able to measure relative bearings in their local body frames w.r.t. neighboring UAVs. The control goal is twofold: (i) steering the agent group towards a formation defined in terms of desired bearings, and (ii) actuating the group motions in the ‘null-space’ of the current bearing formation...
Robots are at the position to become our everyday companions in the near future. Still, many hurdles need to be cleared to achieve this goal. One of them is the fact that robots are still not able to perceive some important communication cues naturally used by humans, e.g. gaze. In the recent past, eye gaze in robot perception was substituted by its proxy, head orientation. Such an approach is still...
In this paper we present an interactive system to enhance bilateral teleoperation through online virtual fixtures generation and task switching. This is achieved using a stereo camera system which provides accurate information of the surrounding environment of the robot and of the tasks that have to be performed in it. The use of the proposed approach aims at improving the performances of bilateral...
Due to the faster-is-slower phenomenon in emergency escape, it is desirable to regulate pedestrian flow at the exit or a bottleneck. Modification of pedestrian facilities was previously studied to increase the efficiency and safety by the transportation community. We propose a robot-assisted pedestrian regulation scheme and study passive human-robot interaction (HRI), where the robot acts as a dynamic...
Localization systems for mobile robots are a trade-off between accuracy, robustness and costs. Current solutions for landmark based indoor localization are either expensive or inaccurate and unreliable. Accurate solutions for instance require costly infrastructure and/or high computational power. Additionally, self-balancing robots have particular challenges due to the unstable nature of the system...
In this paper we present a novel 3D sensing approach for industrial bin-picking applications that is low-cost, fast and precise. The system uses a simple laser-line emitter. While a robot arm moves the object through the laser light, a synchronized camera captures the laser line image on the object. A full point cloud as well as an edge point cloud suitable for subsequent pose estimation is generated...
Door detection is becoming an increasingly important subject in relation to autonomous mobile robot navigation in indoor environments. This paper presents an original approach that recognizes open and closed doors in 3D laser scanned data. The proposed technique uses both the geometric (i.e. XYZ coordinates) and colour (i.e. RGB/HSV) information provided by a calibrated set of 3D laser scanner and...
This paper introduces a method to improve the feedback accuracy using multisensor data fusion. Flexibility in cables and unmodeled rotation of feeder pulley in the spatial workspace cause unreliability in the encoder data as well as sagging in cables. The purpose of this work is to provide an effective scheme to combine other sensors' information from multiple sources to increase the precision and...
This study presents the real time implementation of object detection and tracking algorithm on mobile soccer robot. Object detection is considered as one of the most important task because ball and goal post are the main component in soccer. The system uses the combination of color-based segmentation and feature detection to detect the color and also the shape feature of the object used in the soccer...
In this paper, a monocular vision based autonomous flight and obstacle avoidance system for a commercial quadrotor is presented. The video stream of the front camera and the navigation data measured by the drone is sent to the ground station laptop via wireless connection. Received data processed by the vision based ORB-SLAM to compute the 3D position of the robot and the environment 3D sparse map...
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera parameters from the camera calibration process and disparity map are two important parameters to obtain an accurate result for the 3D reconstruction. 3D reconstruction process generates the coordinates of world points (point cloud). From the information of the point cloud, the interested object is segmented...
A method is presented for collecting images of static objects from various directions using a mobile robot equipped with a LIDAR unit and an omni-directional camera. A system using this method collects an image sequence for each object along with its geometric information (3D shape and position). The robot estimates its position while moving and detects static objects by using LIDAR. At each time...
in order to increase the flexibility and intelligence of robotics visual control system, Broyden estimation of composite Jacobian is combined with nonlinear model predictive control in robotics visual servoing. This method does not require the knowledge of robot model, camera model and object model, while visibility constraints, limitations of joint angles and joint velocities are all considered....
This paper addresses the issue of local information on the Artificial Potential Field (APF). The APF is designed as the path planning with global information usually. For the real time platform in the vast area, it is hard for the sensor to acquire data environment in the global view method. Generally, the sensor is attached on the robot itself that only could be obtained the local information. This...
Accuracy analysis finds out characteristics of robot assisted surgery system. These characteristics are useful for surgeons to improve the operation precision. A hybrid robot assisted surgery system was used as experiment platform. By means of adding homogeneous matrix deviation and fiducial marker localization error vector, we analyze important guidance procedure errors, including tool calibration...
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