Research Project

ColRobTransp: Colaboración robots-humanos para el transporte de productos en zonas urbanas

Type

National Project

Start Date

30/12/2016

End Date

29/12/2019

Project Code

DPI2016-78957-R

Project illustration

Staff

Project Description

The main objective in this project is to advance in the design of new mobile robots that are capable to transport products in the last mile of urban areas, overcoming with the help of humans complex situations in navigation and product delivery. Not only navigation in urban crowded areas is complex, but also it is important how the robots overcome complex street situations, for example, streets semi-blocked due to street repairing or vehicles not well parked that do not allow to reach the delivery place.

Project Publications

Journal Publications

  • V. Vaquero, I. del Pino, F. Moreno-Noguer, J. Solà, A. Sanfeliu and J. Andrade-Cetto. Dual-branch CNNs for vehicle detection and tracking on LiDAR data. IEEE Transactions on Intelligent Transportation Systems, 22(11): 6942-6953, 2021.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. Adaptive side-by-side social robot navigation to approach and interact with people. International Journal of Social Robotics, 12: 909-930, 2020.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. People's adaptive side-by-side model evolved to accompany groups of people by social robots. IEEE Robotics and Automation Letters, 5(2): 2387-2394, 2020.

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  • A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu and F. Moreno-Noguer. GANimation: One-shot anatomically consistent facial animation. International Journal of Computer Vision, 128: 698-713, 2020.

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  • V. Vaquero, E. Repiso and A. Sanfeliu. Robust and real-time detection and tracking of moving objects with minimum 2D LiDAR information to advance autonomous cargo handling in ports. Sensors, 19(1): 107, 2019.

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  • M. Villamizar, A. Sanfeliu and F. Moreno-Noguer. Online learning and detection of faces with low human supervision. The Visual Computer, 35(3): 349-370, 2019.

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  • J. Pérez and A. Sanfeliu. Anticipatory kinodynamic motion planner for computing the best path and velocity trajectory in autonomous driving. Robotics and Autonomous Systems, 114: 93-105, 2019.

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  • M. Villamizar, J. Andrade-Cetto, A. Sanfeliu and F. Moreno-Noguer. Boosted random ferns for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2): 272-288, 2018.

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Conference Publications

  • E. Repiso, F. Zanlungo, T. Kanda, A. Garrell Zulueta and A. Sanfeliu. People's V-formation and side-by-side model adapted to accompany groups of people by social robots, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019, Macau, China, pp. 202-2088.

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  • M. Galvan, E. Repiso and A. Sanfeliu. Robot navigation to approach people using G2-spline path planning and extended social force model, 4th Iberian Robotics Conference, 2019, Porto, Portugal, Vol 1093 of Advances in Intelligent Systems and Computing, pp. 15-27, Springer.

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  • A. Garrell Zulueta, C. Coll, R. Alquézar Mancho and A. Sanfeliu. Teaching a drone to accompany a person from demonstrations using non-linear ASFM, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019, Macau, China, pp. 1985-1991.

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  • M. Dalmasso, A. Garrell Zulueta, P. Jiménez and A. Sanfeliu. Human-robot collaborative navigation search using social reward sources, 4th Iberian Robotics Conference, 2019, Porto, Portugal, Vol 1093 of Advances in Intelligent Systems and Computing, pp. 84-95, Springer.

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  • A. Pumarola, J. Sanchez, G. P. T. Choi, A. Sanfeliu and F. Moreno-Noguer. 3DPeople: Modeling the geometry of dressed humans, 2019 International Conference on Computer Vision, 2019, Seoul, pp. 2242-2251.

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  • V. Vaquero, A. Sanfeliu and F. Moreno-Noguer. Deep lidar CNN to understand the dynamics of moving vehicles, 2018 IEEE International Conference on Robotics and Automation, 2018, Brisbane, Australia, pp. 4504-4509.

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  • A. Pumarola, A. Agudo, L. Porzi, A. Sanfeliu, V. Lepetit and F. Moreno-Noguer. Geometry-aware network for non-rigid shape prediction from a single view, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, UT, USA, pp. 4681-4690.

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  • A. Pumarola, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. Unsupervised person image synthesis in arbitrary poses, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, UT, USA, pp. 8620-8628.

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  • A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu and F. Moreno-Noguer. GANimation: Anatomically-aware facial animation from a single image, 15th European Conference on Computer Vision, 2018, Munich, Germany, in Computer Vision - ECCV 2018, Vol 11214 of Lecture Notes in Computer Science, pp. 835-851, 2018.

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  • V. Vaquero, A. Sanfeliu and F. Moreno-Noguer. Hallucinating dense optical flow from sparse lidar for autonomous vehicles, 24th International Conference on Pattern Recognition, 2018, Beijing, China, pp. 1959-1964.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. Robot approaching and engaging people in a human-robot companion framework, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018, Madrid, Spain, pp. 8200-8205.

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  • D. Escudero and R. Alquézar Mancho. Considering the anchoring problem in robotic intelligent bin picking, 21st Catalan Conference on Artificial Intelligence, 2018, Roses, in Artificial Intelligence Research and Development, Vol 308 of Frontiers in Artificial Intelligence and Applications, pp. 350-354, 2018, IOS Press.

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  • V. Vaquero, G. Ros, F. Moreno-Noguer, A. M. and A. Sanfeliu. Joint coarse-and-fine reasoning for deep optical flow, 24th IEEE International Conference on Image Processing, 2017, Beijing, pp. 2558-2562.

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  • V. Vaquero, I. del Pino, F. Moreno-Noguer, J. Solà, A. Sanfeliu and J. Andrade-Cetto. Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios, 8th European Conference on Mobile Robots, 2017, Paris, France, pp. 1-7.

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  • I. del Pino, V. Vaquero, B. Masini, J. Solà, F. Moreno-Noguer, A. Sanfeliu and J. Andrade-Cetto. Low resolution lidar-based multi object tracking for driving applications, 3rd Iberian Robotics Conference, 2017, Seville, in Robot 2017: Third Iberian Robotics Conference, Vol 694 of Advances in Intelligent Systems and Computing, pp. 287-298, Springer.

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  • A. Garrell Zulueta, L.A. Garza, M. Villamizar, F. Herrero and A. Sanfeliu. Aerial social force model: A new framework to accompany people using autonomous flying robots, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017, Vancouver, Canada, pp. 7011-7017.

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