A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
VISION-BASED HUMANOID NAVIGATION USING SELF-SUPERVISED OBSTACLE DETECTION
2013
International Journal of Humanoid Robotics
Preserved Fulltext
Then, it uses the knowledge about obstacles identified in the laser data to train visual classifiers based on color and texture information in a self-supervised way. ...
In this article, we present an efficient approach to obstacle detection for humanoid robots based on monocular images and sparse laser data. ...
Acknowledgments The authors would like to acknowledge Armin Hornung and Christoph Sprunk for their help in the context of mobile robot navigation, Jörg Müller for his help with the motion capture system ...
doi:10.1142/s0219843613500163
fatcat:symueubgwja3hfvo4papw4btke
Secure Autonomous Cloud Brained Humanoid Robot Assisting Rescuers in Hazardous Environments
2021
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Our research proposes a novel, secure and efficient programmable system using a humanoid robot that is able to autonomously move and detect survivors in emergency scenarios, with the potential to communicate ...
The proposed humanoid robot is powered by the cloud and benefits from the powerful storage, computation, and communication resources of a typical modern data center. ...
features and a cascade AdaBoost classifier for face detection to achieve efficient and real-
time performance for face detection. ...
doi:10.3390/electronics10020124
fatcat:35ir7qrdtnegniabjznnl3ikim
Guiding visitors of Web3D worlds through automatically generated tours
2003
Proceeding of the eighth international conference on 3D web technology - Web3D '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Many Web3D sites do not offer sufficient assistance t o (especially novice) users in navigating the virtual world, find objects/places of interests, and learn how to interact with them. ...
provides automatic code generation for adding such guided tours to VRML worlds. ...
We classify areas of the virtual world in two categories: areas that the guide can freely navigate, and areas that it cannot (because they contain obstacles). ...
doi:10.1145/636593.636598
dblp:conf/vrml/ChittaroRI03
fatcat:vh2psndqsndg7d3vfgvq34tszy
Guiding visitors of Web3D worlds through automatically generated tours
2003
Proceeding of the eighth international conference on 3D web technology - Web3D '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Many Web3D sites do not offer sufficient assistance t o (especially novice) users in navigating the virtual world, find objects/places of interests, and learn how to interact with them. ...
provides automatic code generation for adding such guided tours to VRML worlds. ...
We classify areas of the virtual world in two categories: areas that the guide can freely navigate, and areas that it cannot (because they contain obstacles). ...
doi:10.1145/636596.636598
fatcat:cw344rtptzgybpuidrwn2ttdrm
The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We present a real-time algorithm for emotion-aware navigation of a robot among pedestrians. ...
These PAD characteristics are used for long-term path prediction and generating proxemic constraints for each pedestrian. ...
[3] created a robot for navigating urban environments without GPS data or prior knowledge. Fan et al. ...
arXiv:1903.03217v1
fatcat:itkqg5irm5fn3klijh2uwkabku
Computer-Vision Based Object Detection and Recognition for Service Robot in Indoor Environment
2022
Computers Materials & Continua
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a viable approach for a real-time computer vision based object detection and recognition for efficient indoor navigation of a mobile robot. ...
The presented framework can be further utilized for a wide variety of applications involving indoor navigation robots for different services. ...
Microsoft Kinect returns the depth information about a pair of legs using YOLOv2 to develop an image. ...
doi:10.32604/cmc.2022.022989
fatcat:yllwhhltjnemffyyhtvw5lnjum
Efficient architecture for collision detection between heterogeneous data structures application for vision-guided robots
2008
2008 10th International Conference on Control, Automation, Robotics and Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
and memory optimizations needed for high-performance. ...
In order to enable rapid development of efficient collision detection procedures, we propose an extensible software architecture that allows for cross-queries between data types, while permitting the time ...
Next, it uses the vision data to classify the 3D grid cells, creating two occupancy grids: one for OBSTACLE cells, and the other for UNKNOWN (free space is defined as the absence of grid cells). ...
doi:10.1109/icarcv.2008.4795573
dblp:conf/icarcv/HimmelsteinGFNLL08
fatcat:5sv5r7y5cfhjhh536v5jlx3tzm
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
2009
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
The ability to detect vegetation is important for robots operating outdoors, since it enables a robot to navigate more efficiently and safely in such environments. ...
We furthermore illustrate how the learned classifier can improve the autonomous navigation capabilities of mobile robots. ...
Without knowledge about the specific terrain, the shortest obstacle-free path would have led the robot across a large area containing grass. ...
doi:10.1109/iros.2009.5354530
dblp:conf/iros/WurmKSB09
fatcat:i2d7y46nhbc7jfqme4e5ykfbja
An Optimal Control-Based Formulation to Determine Natural Locomotor Paths for Humanoid Robots
2010
Advanced Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
The knowledge of these principles is useful to implement biologically inspired path planning algorithms on a humanoid robot. ...
We propose a single dynamic model valid for all situations, which includes both non-holonomic and holonomic modes of locomotion, as well as an appropriately designed unified objective function. ...
Acknowledgements We thank the Simulation & Optimization group at IWR, University of Heidelberg for providing the optimal control package MUSCOD. ...
doi:10.1163/016918610x487090
fatcat:gquqwqnkobaxtbtmn4qlnm67sy
A FRAMEWORK FOR LEARNING AND CONTROL IN INTELLIGENT HUMANOID ROBOTS
2005
International Journal of Humanoid Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
We present several pieces of an overall framework in which a robot learns situated policies for control that exploit existing control knowledge and extend its scope. ...
Future application areas for humanoid robots range from the household, to agriculture, to the military, and to the exploration of space. ...
We would also like to thank Robert Ambrose, William Bluethmann and Myron Diftler at NASA Johnson Space Center for providing access to Robonaut. ...
doi:10.1142/s0219843605000491
fatcat:quucpz6uazfznfcgrr6ywkjltm
Cost-Efficient Global Robot Navigation in Rugged Off-Road Terrain
2011
Künstliche Intelligenz
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
, but also cost-efficient, e.g. able to generate navigation paths which optimize a cost measure closely related to terrain traversability. ...
Abstract This thesis addresses the problem of finding a global robot navigation strategy for rugged off-road terrain which is robust against inaccurate self-localization and scalable to large environments ...
distance based components: ρ i = ρ class ρ dist (6.15)
Combining Class Votes for the Classifier Ensemble Label assignment and confidence estimation for each classifier produces three class labels L ...
doi:10.1007/s13218-011-0088-9
fatcat:u4ssainmcvc3jmqdon6gpjg674
A Taxonomy of Vision Systems for Ground Mobile Robots
2014
International Journal of Advanced Robotic Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
, what for?, what with?, how?, and where? ...
Firstly, a thorough review of the papers is proposed to discuss and classify both past and the most current approaches in the field. ...
Furthermore, a novel and efficient auto-navigation system based on machine vision for an unknown environment has been developed in [107] . ...
doi:10.5772/58900
fatcat:ydrtcuwnbrbhdgjxmw3rhfa7oi
A Reuse-Oriented Development Process for Component-Based Robotic Systems
[chapter]
2012
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
study of robust navigation functionality, and to present the software tools that we have developed for supporting the proposed process. ...
State of the art in robot software development mostly relies on class library reuse and only to a limited extent to component-based design. ...
The authors would like to thank all the partners of the project for their valuable comments. ...
doi:10.1007/978-3-642-34327-8_33
fatcat:zdx5mo5fcvb37jkji5xv3ohk4y
Detection of Landmines Using Nuclear Quadrupole Resonance (NQR): Signal Processing to Aid Classification
[chapter]
2006
Climbing and Walking Robots
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Any dissimilarity (i.e. novelty) to normal behaviours are detected and classified into distinctive classes. ...
Abstract The paper points out the progress in the exploitation of high fast and precise non-contact velocimetry for robot applications. ...
Choosing the type of locomotion suitable for an application/environment, biomimesis is an effective paradigm. Natural behaviours are understood and reproduced in robotic systems. What attracts and ...
doi:10.1007/3-540-26415-9_100
dblp:conf/clawar/SomasundaramASS05
fatcat:4vu25zlx65dszgbcxkusxozfve
Universal Planning Networks
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
A key challenge in complex visuomotor control is learning abstract representations that are effective for specifying goals, planning, and generalization. ...
We find that the representations learned are not only effective for goal-directed visual imitation via gradient-based trajectory optimization, but can also provide a metric for specifying goals using images ...
To our knowledge, there has been no prior exposition of torque controlled goal conditioned ant navigation for varying goals around obstacle(s) even when spatial positions of the goal and ant torso are ...
arXiv:1804.00645v2
fatcat:lh2f2utiujfrnckabtzyp6m3ke
« Previous
Showing results 1 — 15 out of 600 results