Bruno Damas

Office:

7.17

Academic Degree:

Ph.D.

Email:

bdamas@isr.tecnico.ulisboa.pt

Nationality:

PT

FCT:

J017246llAb

ORCID:

0000-0001-8356-2962

CienciaID:

F818-5AA8-05DF

Google Scholar:

https://scholar.google.pt/citations?user=-WPXBNgAAAAJ

[1] RePAIR – Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage – EU [2021-06; 2025-10]
[2] HANDLE – Developmental pathway towards autonomy and dexterity in robot in-hand manipulation – EU-FP7 [2009-02; 2013-01]
[3] SocRob – Society of Cooperative Robots – FCT
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[1] João Vitorino, Bruno Damas, Vítor Viegas “Harvesting energy from a soldier’s gait using the piezoelectric effect”, Energy Harvesting and Systems, vol. 11, no. 1, 2024, pp. 20230149, 2024
[2] Miguel Ribeiro, Bruno Damas, Alexandre Bernardino “Real-Time Ship Segmentation in Maritime Surveillance Videos Using Automatically Annotated Synthetic Datasets”, Sensors, 22(21), 8090, October, 2022
[3] Carlos Pires, Bruno Damas, Alexandre Bernardino “An Efficient Cascaded Model for Ship Segmentation in Aerial Images”, IEEE Access, vol. 10, pp. 31942-31954, March, 2022
[4] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo “Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach”, Journal of Intelligent & Robotic Systems, 98, 191–205, April, 2020
[5] Lorenzo Jamone, Bruno Damas, N. Endo, José Santos-Victor, A. Takanishi “Incremental development of multiple tool models for robotic reaching through autonomous exploration”, Paladyn, Vol. 3, Issue 3, pp. 113-127, September, 2013 – PDF
[6] Bruno Damas, José Santos-Victor “Online Learning of Single and Multi-Valued Functions with an Infinite Mixture of Linear Experts”, Neural Computation, Volume 25, Issue 11, November, 2013 – PDF
[7] Bruno Damas, Luís Custódio “Emotion-Based Decision and Learning Using Associative Memory and Statistical Estimation”, INFORMATICA, an International Journal of Computing and Informatics, Special Issue on Perception and Emotion Based Reasoning, Vol. 27, pp. 147-157, 2003
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[1] Bruno Damas, Luís Custódio, Pedro Lima “A Modified Potential Fields Method for Robot Navigation Applied to Dribbling in Robotic Soccer”, RoboCup 2002 Book, Editors: Gal Kaminka, Pedro Lima and Raul Rojas, Springer-Verlag, Berlin, 2003
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[1] Tomás Barata, Bruno Damas, Vítor Viegas, Vítor Conceição “A Dataset for Robot Navigation in GNSS-Disrupted Environments Using Low-Cost Sensors”, IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Funchal, Portugal, pp. 132-137, 2025
[2] Bruno Damas, Nuno Pessanha Santos, Matilde Correia Vieira “Ship, Guide My Landing! A Binocular Extended Kalman Filter for Maritime UAV Landing Operations”, OCEANS 2024 – Halifax, Halifax, NS, Canada, 2024, pp. 1-10, 2024
[3] Bruno Damas, Nuno Pessanha Santos, Matilde Correia Vieira “A visual tracking system for UAV landing on ships”, 10th International Conference on Control, Decision and Information Technologies (CoDIT), Vallette, Malta, 2024, pp. 2627-2632, 2024
[4] Nuno Pessanha Santos, Vitor Rodrigues, André Pinto, Bruno Damas “Automatic detection of civilian and military personnel in reconnaissance missions using a UAV”, IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal, 2023, pp. 157-162, 2023
[5] Bruno Damas, T. António, P. Silva, M. Moreira “Modeling and simulation of a biomimetic underwater vehicle”, Proc. of ICMERR 2022 – 7th International Conference on Mechanical Engineering and Robotics Research, Krakow, Poland, 2022
[6] André Couto Pinto, Bruno Damas, Vitor Rodrigues, Nuno Pessanha Santos “Detecção Automática de Alvos Terrestres a partir de um UAV em Apoio a Operações Anfíbias”, ECM 2022 – 4º Encontro de Investigação e Desenvolvimento em Ciências Militares, Academia da Força Aérea, Pêro Pinheiro, Portugal, 2022
[7] Bruno Damas, Luis Gonçalves “Automatic detection of rescue targets in maritime search and rescue missions using uavs”, International Conference on Unmanned Aircraft Systems (ICUAS), Dubrovnik, Croatia, 2022, pp. 1638-1643, 2022
[8] Luis Gonçalves, Bruno Damas “Automatic detection of rescue targets in maritime search and rescue missions using UAVs”, Proc. of ICUAS 2022 – International Conference on Unmanned Aircraft Systems, Dubrovnik, Croatia, 2022
[9] Duarte Nunes, João Fortuna, Bruno Damas, Rodrigo Ventura “Real-time vision based obstacle detection in maritime environments”, Proc. of ICARSC 2022 – IEEE International Conference on Autonomous Robot Systems and Competitions, Santa Maria da Feira, Portugal, pp. 243–248, 2022
[10] Tiago Ferreira, Bruno Damas, Alexandre Bernardino “6D UAV Pose Estimation for Ship Landing Guidance”, Proc. of OCEANS 2021, San Diego – Porto, 2021 – PDF
[11] Carlos Pires, Alexandre Bernardino, Bruno Damas “Ship Segmentation in Aerial Images for Maritime Surveillance”, 26th Portuguese Conference on Pattern Recognition. Évora, 2020, 2020
[12] Nino Cauli, Pedro Vicente, J. Kim, Bruno Damas, Alexandre Bernardino, F. Cavallo, José Santos-Victor “Autonomous table cleaning from kinesthetic demonstrations using Deep Learning”, Proc. of IEEE ICDL-EPIROB 2018 – 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, Tokyo, Japan, 2018
[13] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Filippo Cavallo, José Santos-Victor ““iCub, clean the table!” A robot learning from demonstration approach using Deep Neural Networks”, Proc. of ICARSC 2018, 18th IEEE International Conference on Autonomous Robot Systems and Competitions, Torres Vedras, Portugal, 2018
[14] Lorenzo Jamone, Bruno Damas, José Santos-Victor “Incremental learning of context-dependent dynamic internal models for robot control”, Proc. of MSC 2014 – IEEE International Multi-Conference on Systems and Control, Nice, France, 2014
[15] Lorenzo Jamone, Bruno Damas, José Santos-Victor, A. Takanishi “Online Learning of Humanoid Robot Kinematics under Switching Tools Contexts”, Proc. of ICRA 2013 – IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013 – PDF
[16] Bruno Damas, Lorenzo Jamone, José Santos-Victor “Open and Closed-Loop Task Space Trajectory Control of Redundant Robots Using Learned Models”, Proc. of IROS 2013 – IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, 2013 – PDF
[17] Bruno Damas, José Santos-Victor “An online algorithm for simultaneously learning forward and inverse kinematics”, Proc. of IROS 2012 – IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Portugal, 2012 – PDF
[18] José Santos-Victor, Bruno Damas “Avoiding Moving Obstacles: The Forbidden Velocity Map”, Proc. of IROS 2009 – The IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 2009
[19] Bruno Damas, Manuel Lopes “A Learning Framework for Generic Sensory-Motor Maps”, Proc. of IROS 2007 – IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, California, USA, 2007
[20] Bruno Damas, Pedro Lima “Stochastic Discrete Event Model of a Multi-Robot Team Playing an Adversarial Game”, Proc. IAV 2004 – 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, 2004 – PDF
[21] Bruno Damas, Luís Custódio, Pedro Lima “A Modified Potential Fields Method for Robot Navigation Applied to Dribbling in Robotic Soccer”, Proc. of RoboCup Symposium, Fukuoka, Japan, 2002 – PDF
[22] Bruno Damas, Pedro Lima, Luís Custódio “Navegacao Entre Obstaculos Usando Um Metodo de Campos de Potencial Modificados”, Actas do Encontro Cientifico do Robotica 2002 – Festival Nacional de Robotica, 2002 – PDF
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[1] Bruno Damas “Learning and Sensorimotor Coordination of Anthropomorphic Robotic Systems”, Ph.D. Thesis, Instituto Superior Tecnico, Universidade de Lisboa, October, 2014
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[1] Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo "Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach", Workshop on Open-Ended Learning for Object Perception and Grasping: Current Successes and Future Challenges at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019

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