Research line

Mobile Robotics and Intelligent Systems Image

The research activities of the MOBILE ROBOTICS line are aimed to endow mobile robots and ubiquitous computing devices the necessary skills to aid humans in everyday life activities. These skills range from pure perceptual activities such as tracking, recognition or situation awareness, to motion skills, such as localization, mapping, autonomous navigation, path planning or exploration.

Head of line: Alberto Sanfeliu Cortés

Head of line

Tech. transfer

Our activity finds applications in several fields through collaboration with our technological partners

Research projects

We carry out projects from national and international research programmes.
→ More about our research projects

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Urban service robotics

The group focuses on the design and development of service mobile robots for human assistance and human robot interaction. This includes research on novel hardware and software solutions to urban robotic services such as surveillance, exploration, cleaning, transportation, human tracking, human assistance and human guiding.

Research area 1 of Mobile Robotics

Social robotics

The group's work on social robotics has an emphasis in human robot interaction and collaboration, developing new techniques to predict and learn human behaviors, human-robot task collaboration, and the generation of emphatic robot behaviors using all types of sensors, computer vision techniques and cognitive systems technologies.

Research area 2 of Mobile Robotics

Robot localization and robot navigation

This research area tackles the creation of robust single and cooperative, indoor and outdoor robot localization solutions, using multiple sensor modalities such as GPS, computer vision and laser range finding, INS sensors and raw odometry. The area also seeks methods and algorithms for autonomous robot navigation, and robot formation; and the application of these methods on a variety of indoor and outdoor mobile robot platforms.

Research area 3 of Mobile Robotics

SLAM and robot exploration

We develop solutions for indoor and outdoor simultaneous localization and mapping using computer vision and three-dimensional range data using Bayesian estimation. The research includes the development of new filtering and smoothing algorithms that limit the load of maps using information theoretic measures; as well as the design and construction of novel sensors for outdoor mapping. This research area also studies methods for autonomous robotic exploration.

Research area 4 of Mobile Robotics

Tracking in computer vision

We study the development of robust algorithms for the detection and tracking of human activities in indoor and outdoor areas, with applications to service robotics, surveillance, and human-robot interaction. This includes the development of fixed/moving single camera tracking algorithms as well as detection and tracking methods over large camera sensor networks.

Research area 5 of Mobile Robotics

Object recognition

The group also performs research on object detection and object recognition in computer vision. Current research is heavily based on boosting and other machine learning methodologies that make extensive use of multiple view geometry. We also study the development of unique feature and scene descriptors, invariant to changes in illumination, cast shadows, or deformations.

Research area 6 of Mobile Robotics

These are the latest research projects of the Mobile Robotics and Intelligent Systems research line:

These are the most recent publications (2015 - 2014) of the Mobile Robotics and Intelligent Systems

  • A. Santamaria-Navarro, E.H. Teniente, M. Morta and J. Andrade-Cetto. Terrain classification in complex three-dimensional outdoor environments. Journal of Field Robotics, 32(1): 42-60, 2015.

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  • J. Vallvé and J. Andrade-Cetto. Potential information fields for mobile robot exploration. Robotics and Autonomous Systems, 69: 68-79, 2015.

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  • I. Huerta, M. Pedersoli, J. Gonzàlez and A. Sanfeliu. Combining where and what in change detection for unsupervised foreground learning in surveillance. Pattern Recognition, 48(3): 709-719, 2015.

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  • J. Andrade-Cetto, U. Frese and M. Tenorth. ECMR’13 Special Issue. Robotics and Autonomous Systems, 69: 1-2, 2015.

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  • S. Hernández and F. Herrero. Multi-master ROS systems. Technical Report IRI-TR-15-01, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2015.

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  • J. Vallvé and J. Andrade-Cetto. Active Pose SLAM with RRT*, 2015 IEEE International Conference on Robotics and Automation, 2015, Seattle, pp. 2167-2173.

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  • A. Rubio, M. Villamizar, L. Ferraz, A. Penate-Sanchez, A. Ramisa, E. Simo-Serra, A. Sanfeliu and F. Moreno-Noguer. Efficient monocular pose estimation for complex 3D models, 2015 IEEE International Conference on Robotics and Automation, 2015, Seattle, pp. 1397-1402.

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  • M. Villamizar, A. Garrell Zulueta, A. Sanfeliu and F. Moreno-Noguer. Modeling robot's world with minimal effort, 2015 IEEE International Conference on Robotics and Automation, 2015, Seattle, pp. 4890-4896.

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  • M. Villamizar, A. Garrell Zulueta, A. Sanfeliu and F. Moreno-Noguer. Multimodal object recognition using random clustering trees, 7th Iberian Conference on Pattern Recognition and Image Analysis, 2015, Santiago de Compostela, in Pattern Recognition and Image Analysis, Vol 9117 of Lecture Notes in Computer Science, pp. 496-504, 2015, Springer.

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  • G. Ferrer and A. Sanfeliu. Multi-objective cost-to-go functions on robot navigation in dynamic environments, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015, Hamburg, to appear.

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  • R. Valencia, J. Saarinen, H. Andreasson, J. Vallvé, J. Andrade-Cetto and A. Llilienthal. Localization in highly dynamic environments using dual-timescale NDT-MCL, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 3956-3962.

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  • A. Grau, Y. Bolea and A. Sanfeliu. How to integrate sustainability in technological degrees: Robotics at UPC. International Journal of Social, Management, Economics and Business Engineering, 8(9): 2778-2783, 2014.

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  • G. Ferrer and A. Sanfeliu. Behavior estimation for a complete framework for human motion prediction in crowded environments, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 5940-5945.

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  • A. Santamaria-Navarro and J. Andrade-Cetto. Hierarchical task control for aerial inspection, euRathlon-ARCAS Workshop and Summer School on Field Robotics, 2014, Seville.

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  • A.A. Ortega, M. Silva, E.H. Teniente, R. Ferreira, A.J. Bernardino Malheiro, J. Gaspar and J. Andrade-Cetto. Calibration of an outdoor distributed camera network with a 3D point cloud. Sensors, 14(8): 13708-13729, 2014.

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  • E. Trulls Fortuny, S. Tsogkas, I. Kokkinos, A. Sanfeliu and F. Moreno-Noguer. Segmentation-aware deformable part models, 2014 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, Columbus, pp. 168-175.

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  • G. Ferrer and A. Sanfeliu. Proactive kinodynamic planning using the extended social force model and human motion prediction in urban environments, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014, Chicago, pp. 1730-1735.

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  • A.A. Ortega and J. Andrade-Cetto. Dynamic object detection fusing LIDAR data and images, X Taller de Procesamiento de Imágenes, 2014, Guanajuato México.

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  • A. Goldhoorn, A. Garrell Zulueta, R. Alquézar Mancho and A. Sanfeliu. Continuous real time POMCP to find-and-follow people by a humanoid service robot, 2014 IEEE-RAS International Conference on Humanoid Robots, 2014, Madrid, Spain, pp. 741-747, IEEE Press.

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  • A. Santamaria-Navarro, V. Lippiello and J. Andrade-Cetto. Task priority control for aerial manipulation, 2014 IEEE International Symposium on Safety, Security and Rescue Robotics, 2014, Toyako-cho, Hokkaido, Japan, pp. 1-6.

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  • A. Amor, A. Ruiz, F. Moreno-Noguer and A. Sanfeliu. On-board real-time pose estimation for UAVs using deformable visual contour registration, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 2595-2601.

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  • M. Villamizar, A. Sanfeliu and F. Moreno-Noguer. Fast online learning and detection of natural landmarks for autonomous aerial robots, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 4996-5003.

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  • A. Amato, I. Huerta, M. Mozerov, F. Xavier Roca and J. Gonzàlez. Moving cast shadows detection methods for video surveillance applications. In Wide Area Surveillance: Real-time Motion Detection Systems, 23-47. Springer, 2014.

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  • A. Rubio, M. Villamizar, L. Ferraz, A. Penate-Sanchez, A. Sanfeliu and F. Moreno-Noguer. Estimación monocular y eficiente de la pose usando modelos 3D complejos, XXXV Jornadas de Automática, 2014, Valencia .

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  • G. Ferrer and A. Sanfeliu. Bayesian human motion intentionality prediction in urban environments. Pattern Recognition Letters, 44: 134-140, 2014.

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  • A. Penate-Sanchez, F. Moreno-Noguer, J. Andrade-Cetto and F. Fleuret. LETHA: Learning from high quality inputs for 3D pose estimation in low quality images, 2nd International Conference on 3D Vision, 2014, Tokyo, pp. 517-524.

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  • M.G. Jadidi, J. Valls Miró, R. Valencia and J. Andrade-Cetto. Exploration on continuous Gaussian process frontier maps, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 6077-6082.

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  • I. Huerta, G. Ferrer, F. Herrero, A. Prati and A. Sanfeliu. Multimodal feedback fusion of laser, image and temporal information, 2014 International Conference on Distributed Smart Cameras, 2014, Venice, Italy, pp. 25:1-25:6.

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  • J. Vallvé and J. Andrade-Cetto. Dense entropy decrease estimation for mobile robot exploration, 2014 IEEE International Conference on Robotics and Automation, 2014, Hong Kong, pp. 6083-6089.

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  • P. Omedas, A. Betella, R. Zucca, Xerxes D. Arsiwalla, D. Pacheco, J. Wagner, F. Lingenfelser, E. Andre, D. Mazzei, A. Lanatá, D. de Rossi, A. Grau, A. Goldhoorn, E. Guerra, R. Alquézar Mancho, A. Sanfeliu and Paul F.M.J. Verschure. XIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mix, 2014 Virtual Reality International Conference , 2014, Laval, France, pp. 26:1-4, ACM New York, NY, USA.

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Mobile Robotics Laboratory

The Mobile Robotics Laboratory is an experimental area primarily devoted to hands-on research with mobile robot devices. The lab includes 3 Pioneer platforms, 2 service robots for urban robotics research based on Segway platforms, and a 4-wheel rough outdoor mobile robot, a six-legged LAURON-III walking robot, and a vast number of sensors and cameras.

Mobile Robotics Laboratory

Barcelona Robot Laboratory

The Barcelona Robot Lab encompasses an outdoor pedestrian area of 10.000 sq m., and is provided with 21 fixed cameras, a set of heterogeneous robots, full coverage of wifi and mica devices, and partial gps coverage. The area has moderate vegetation and intense cast shadows, making computer vision algorithms more than challenging.

Barcelona Robot Laboratory
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