Artikel mit Open-Access-Mandaten - Manuela M. VelosoWeitere Informationen
Nicht verfügbar: 6
Autonomous surveillance robots: A decision-making framework for networked muiltiagent systems
S Witwicki, JC Castillo, J Messias, J Capitan, FS Melo, PU Lima, M Veloso
IEEE Robotics & Automation Magazine 24 (3), 52-64, 2017
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Allocating training instances to learning agents for team formation
S Liemhetcharat, M Veloso
Autonomous Agents and Multi-Agent Systems 31, 905-940, 2017
Mandate: US Department of Defense, A*Star, Singapore
Designing an integrated architecture: The prodigy view
JG Carbonell, Y Gil, R Joseph, CA Knoblock, S Minton, MM Veloso
12th Annual Conference. CSS Pod, 997-1004, 2022
Mandate: US Department of Defense, US National Aeronautics and Space Administration
Exploiting symmetry in human robot-assisted dressing using reinforcement learning
P Ildefonso, P Remédios, R Silva, M Vasco, FS Melo, A Paiva, M Veloso
Progress in Artificial Intelligence: 20th EPIA Conference on Artificial …, 2021
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Search-based Planning with Learned Behaviors for Navigation among Pedestrians
I Chatterjee, Y Oza, M Likhachev, M Veloso
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Mandate: US Department of Defense
Combining 3D Shape and Color for 3D Object Recognition
S Brandão, JP Costeira, M Veloso
International Conference on Image Analysis and Recognition, 481-489, 2016
Mandate: US National Science Foundation, Fundação para a Ciência e a Tecnologia, Portugal
Verfügbar: 76
Robust object recognition through symbiotic deep learning in mobile robots
J Cartucho, R Ventura, M Veloso
2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Teaching robots to predict human motion
LY Gui, K Zhang, YX Wang, X Liang, JMF Moura, M Veloso
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Mandate: US National Science Foundation, US Department of Defense
Mobile service robot state revealing through expressive lights: formalism, design, and evaluation
K Baraka, MM Veloso
International Journal of Social Robotics 10, 65-92, 2018
Mandate: US National Science Foundation, US Department of Defense, Fundação para a …
Weighted synergy graphs for effective team formation with heterogeneous ad hoc agents
S Liemhetcharat, M Veloso
Artificial Intelligence 208, 41-65, 2014
Mandate: A*Star, Singapore
Expressive lights for revealing mobile service robot state
K Baraka, A Paiva, M Veloso
Robot 2015: Second Iberian Robotics Conference: Advances in Robotics, Volume …, 2016
Mandate: US National Science Foundation, Fundação para a Ciência e a Tecnologia, Portugal
Generation of policy-level explanations for reinforcement learning
N Topin, M Veloso
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2514-2521, 2019
Mandate: US Department of Defense
Personalized assistance for dressing users
SD Klee, BQ Ferreira, R Silva, JP Costeira, FS Melo, M Veloso
Social Robotics: 7th International Conference, ICSR 2015, Paris, France …, 2015
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Claimeval: Integrated and flexible framework for claim evaluation using credibility of sources
M Samadi, P Talukdar, M Veloso, M Blum
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandate: US National Science Foundation
Project INSIDE: towards autonomous semi-unstructured human–robot social interaction in autism therapy
FS Melo, A Sardinha, D Belo, M Couto, M Faria, A Farias, H Gamboa, ...
Artificial intelligence in medicine 96, 198-216, 2019
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
Dynamic generation and refinement of robot verbalization
V Perera, SP Selveraj, S Rosenthal, M Veloso
2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016
Mandate: US National Science Foundation
Xskill: Cross embodiment skill discovery
M Xu, Z Xu, C Chi, M Veloso, S Song
Conference on robot learning, 3536-3555, 2023
Mandate: US National Science Foundation
The 1,000-km challenge: Insights and quantitative and qualitative results
J Biswas, M Veloso
IEEE Intelligent Systems 31 (3), 86-96, 2016
Mandate: US National Science Foundation
Learning domain structure through probabilistic policy reuse in reinforcement learning
F Fernández, M Veloso
Progress in Artificial Intelligence 2, 13-27, 2013
Mandate: Government of Spain
Vision augmented robot feeding
A Candeias, T Rhodes, M Marques, M Veloso
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Mandate: Fundação para a Ciência e a Tecnologia, Portugal
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