
Manuela M. Veloso
Manuela Veloso
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, USA
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
- [i40]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR abs/2101.02252 (2021) - 2020
- [j96]Kim Baraka
, Francisco S. Melo, Marta Couto
, Manuela Veloso:
Optimal action sequence generation for assistive agents in fixed horizon tasks. Auton. Agents Multi Agent Syst. 34(2): 33 (2020) - [j95]Nerea Luis
, Tiago Raul Pereira, Susana Fernández, António Moreira
, Daniel Borrajo, Manuela Veloso:
Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning. J. Intell. Robotic Syst. 98(1): 165-190 (2020) - [c399]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211 - [c398]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS 2020: 1260-1268 - [c397]Gilad Asharov, Tucker Hybinette Balch, Antigoni Polychroniadou, Manuela Veloso:
Privacy-Preserving Dark Pools. AAMAS 2020: 1747-1749 - [c396]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso:
Heuristics for Link Prediction in Multiplex Networks. ECAI 2020: 1938-1945 - [c395]Manuela Veloso:
AI for Intelligent Financial Services: Examples and Discussion. KDD 2020: 1-2 - [c394]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS 2020 - [i39]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso:
Heuristics for Link Prediction in Multiplex Networks. CoRR abs/2004.04704 (2020) - [i38]Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Latent Bayesian Inference for Robust Earnings Estimates. CoRR abs/2004.06565 (2020) - [i37]Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso:
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. CoRR abs/2004.13152 (2020) - [i36]Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov:
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR abs/2005.06041 (2020) - [i35]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR abs/2006.12686 (2020) - [i34]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR abs/2006.13085 (2020) - [i33]Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant P. Reddy, Manuela Veloso:
AI pptX: Robust Continuous Learning for Document Generation with AI Insights. CoRR abs/2010.01169 (2020) - [i32]Jiahao Chen, Manuela Veloso:
Paying down metadata debt: learning the representation of concepts using topic models. CoRR abs/2010.04836 (2020) - [i31]Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso:
SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR abs/2010.05852 (2020) - [i30]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - [i29]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR abs/2011.01826 (2020) - [i28]Daniel Borrajo, Manuela Veloso:
Domain-independent generation and classification of behavior traces. CoRR abs/2011.02918 (2020) - [i27]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR abs/2011.09052 (2020)
2010 – 2019
- 2019
- [j94]Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions. Int. J. Robotics Res. 38(8) (2019) - [j93]Tiago Raul de Sousa Pereira, António Paulo Moreira
, Manuela Veloso:
Optimal Perception Planning with Informed Heuristics Constructed from Visibility Maps. J. Intell. Robotic Syst. 93(3-4): 547-570 (2019) - [j92]Kim Baraka
, Francisco S. Melo, Manuela Veloso:
Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics 10(1): 103-116 (2019) - [j91]Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi:
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. IEEE Robotics Autom. Mag. 26(3): 99-102 (2019) - [j90]Jonathan Aldrich
, David Garlan, Christian Kästner
, Claire Le Goues
, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
:
Model-Based Adaptation for Robotics Software. IEEE Softw. 36(2): 83-90 (2019) - [c393]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. AAAI 2019: 2514-2521 - [c392]Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso:
A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS 2019: 455-463 - [c391]Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso:
Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS 2019: 674-679 - [c390]Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso:
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. AAMAS 2019: 95-103 - [c389]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. Humanoids 2019: 409-416 - [c388]Yifeng Zhu, Devin Schwab, Manuela Veloso:
Learning Primitive Skills for Mobile Robots. ICRA 2019: 7597-7603 - [c387]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. IJCAI 2019: 2442-2448 - [c386]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN 2019: 1-8 - [e10]Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. International Foundation for Autonomous Agents and Multiagent Systems 2019, ISBN 978-1-4503-6309-9 [contents] - [i26]William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/1904.10079 (2019) - [i25]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. CoRR abs/1905.12044 (2019) - [i24]Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR abs/1907.01180 (2019) - [i23]Naftali Cohen, Tucker Balch, Manuela Veloso:
The Effect of Visual Design in Image Classification. CoRR abs/1907.09567 (2019) - [i22]Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via Image Classification. CoRR abs/1907.10046 (2019) - [i21]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. CoRR abs/1907.13440 (2019) - [i20]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. CoRR abs/1909.12460 (2019) - [i19]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR abs/1910.11459 (2019) - [i18]Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso:
Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR abs/1911.05892 (2019) - [i17]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR abs/1911.12851 (2019) - [i16]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR abs/1912.04941 (2019) - 2018
- [j89]Kim Baraka
, Manuela M. Veloso:
Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation. Int. J. Soc. Robotics 10(1): 65-92 (2018) - [j88]James Bellingham, Pierre E. Dupont
, Peer Fischer, Luciano Floridi
, Robert J. Full, Neil Jacobstein
, Vijay Kumar, Marcia McNutt
, Robert D. Merrifield, Bradley J. Nelson
, Brian Scassellati
, Mariarosaria Taddeo
, Russell H. Taylor, Manuela M. Veloso, Zhong Lin Wang
, Robert J. Wood
:
The grand challenges of Science Robotics. Sci. Robotics 3(14) (2018) - [c385]Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891 - [c384]Devin Schwab, Yifeng Zhu, Manuela M. Veloso:
Zero Shot Transfer Learning for Robot Soccer. AAMAS 2018: 2070-2072 - [c383]Max Korein, Manuela M. Veloso:
Multi-Armed Bandit Algorithms for Spare Time Planning of a Mobile Service Robot. AAMAS 2018: 2195-2197 - [c382]Alexandre Candeias
, Travers Rhodes
, Manuel Marques
, João Paulo Costeira
, Manuela Veloso
:
Vision Augmented Robot Feeding. ECCV Workshops (6) 2018: 50-65 - [c381]Max Korein, Manuela Veloso:
Multi-Armed Bandit Algorithms for a Mobile Service Robot's Spare Time in a Structured Environment. GCAI 2018: 121-133 - [c380]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier Labels as Language Grounding for Explanations. GCAI 2018: 148-161 - [c379]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier-Based Evaluation of Image Feature Importance. GCAI 2018: 162-175 - [c378]Vittorio Perera, Manuela Veloso:
Interpretability of a Service Robot: Enabling User Questions and Checkable Answers. GCAI 2018: 176-187 - [c377]Rui Silva, Francisco S. Melo, Manuela Veloso:
What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. GCAI 2018: 229-242 - [c376]Ashwin Khadke, Manuela Veloso:
Inferring Capabilities by Experimentation. IAS 2018: 889-901 - [c375]Tiago Raul de Sousa Pereira, Nerea Luis, António Paulo Moreira
, Daniel Borrajo
, Manuela M. Veloso, Susana Fernández:
Heterogeneous multi-agent planning using actuation maps. ICARSC 2018: 219-224 - [c374]Anahita Mohseni-Kabir, Manuela M. Veloso:
Robot Task Interruption by Learning to Switch Among Multiple Models. IJCAI 2018: 4943-4949 - [c373]Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c372]João Cartucho, Rodrigo Ventura
, Manuela Veloso:
Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots. IROS 2018: 2336-2341 - [c371]Philip Cooksey, Manuela Veloso:
A Rationale-Driven Team Plan Representation for Autonomous Intra-Robot Replanning*. IROS 2018: 2389-2394 - [c370]Travers Rhodes, Manuela Veloso:
Robot-driven Trajectory Improvement for Feeding Tasks. IROS 2018: 2991-2996 - [c369]Rongye Shi
, Peter Steenkiste, Manuela Veloso:
Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation. ITSC 2018: 3397-3402 - [c368]Devin Schwab, Yifeng Zhu, Manuela Veloso:
Learning Skills for Small Size League RoboCup. RoboCup 2018: 83-95 - [c367]Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310 - [i15]Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela M. Veloso:
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation. CoRR abs/1802.03675 (2018) - [i14]Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso:
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR abs/1806.03671 (2018) - [i13]Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca:
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR abs/1812.07613 (2018) - 2017
- [j87]Somchaya Liemhetcharat, Manuela M. Veloso:
Allocating training instances to learning agents for team formation. Auton. Agents Multi Agent Syst. 31(4): 905-940 (2017) - [j86]Danny Zhu
, Manuela M. Veloso:
Event-based automated refereeing for robot soccer. Auton. Robots 41(7): 1463-1485 (2017) - [j85]Stefan J. Witwicki, José Carlos Castillo
, João V. Messias
, Jesús Capitán
, Francisco S. Melo, Pedro U. Lima
, Manuela M. Veloso:
Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. IEEE Robotics Autom. Mag. 24(3): 52-64 (2017) - [j84]Joydeep Biswas, Manuela M. Veloso:
Episodic non-Markov localization. Robotics Auton. Syst. 87: 162-176 (2017) - [c366]Rongye Shi
, Peter Steenkiste, Manuela M. Veloso:
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. BDCAT 2017: 255-264 - [c365]Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRL 2017: 249-261 - [c364]Catarina Silva, Jayakorn Vongkulbhisal, Manuel Marques
, João Paulo Costeira
, Manuela M. Veloso:
Feedbot - A Robotic Arm for Autonomous Assisted Feeding. EPIA 2017: 486-497 - [c363]Kim Baraka
, Francisco S. Melo, Manuela M. Veloso:
Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process. EPIA 2017: 753-765 - [c362]Qingxiaoyang Zhu, Vittorio Perera, Mirko Wächter, Tamim Asfour, Manuela M. Veloso:
Autonomous narration of humanoid robot kitchen task experience. Humanoids 2017: 390-397 - [c361]Kim Baraka
, Francisco S. Melo, Manuela M. Veloso:
Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders. ICDL-EPIROB 2017: 202-208 - [c360]Junyun Tay, Manuela M. Veloso, I-Ming Chen:
Learning individual motion preferences from audience feedback of motion sequences. ICRA 2017: 2768-2773 - [c359]Philip Cooksey, Manuela M. Veloso:
Intra-robot replanning to enable team plan conditions. IROS 2017: 1113-1118 - [c358]Rui Silva, Miguel Faria, Francisco S. Melo, Manuela M. Veloso:
Adaptive indirect control through communication in collaborative human-robot interaction. IROS 2017: 3617-3622 - [c357]Danny Zhu, Manuela M. Veloso:
Visualizing robot behaviors as automated video annotations: A case study in robot soccer. IROS 2017: 6408-6413 - [c356]Vittorio Perera, Manuela M. Veloso:
Learning to understand questions on the task history of a service robot. RO-MAN 2017: 304-309 - [c355]Lotte de Koning, Juan Pablo Mendoza, Manuela M. Veloso, René van de Molengraft:
Skills, Tactics and Plays for Distributed Multi-robot Control in Adversarial Environments. RoboCup 2017: 277-289 - [c354]Carlos Celemin
, Rodrigo Pérez-Dattari
, Javier Ruiz-del-Solar
, Manuela M. Veloso
:
Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots. RoboCup 2017: 363-375 - [c353]Tiago Raul de Sousa Pereira, António Paulo Gomes Mendes Moreira
, Manuela M. Veloso:
Multi-Robot Planning for Perception of Multiple Regions of Interest. ROBOT (1) 2017: 275-286 - [c352]Danny Zhu, Manuela M. Veloso:
A multi-layered visualization language for video augmentation. SIGGRAPH Asia Symposium on Visualization 2017: 7:1-7:8 - [c351]Kim Baraka
, Francisco S. Melo, Manuela M. Veloso:
'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities. ICSR 2017: 105-114 - [c350]Ishani Chatterjee, Maxim Likhachev, Manuela M. Veloso:
Search Reduction through Conservative Abstract-Space Based Heuristic. SOCS 2017: 161-162 - [i12]Vittorio Perera, Tiago Pereira, Jonathan Connell, Manuela M. Veloso:
Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users. CoRR abs/1704.04797 (2017) - [i11]Shichao Yang, Sandeep Konam, Chen Ma, Stephanie Rosenthal, Manuela M. Veloso, Sebastian A. Scherer:
Obstacle Avoidance through Deep Networks based Intermediate Perception. CoRR abs/1704.08759 (2017) - [i10]Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRR abs/1705.10422 (2017) - [i9]Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing, Stephanie Rosenthal, Manuela M. Veloso:
Visual Explanations for Convolutional Neural Networks via Input Resampling. CoRR abs/1707.09641 (2017) - [i8]Sandeep Konam, Stephanie Rosenthal, Manuela M. Veloso:
UAV and Service Robot Coordination for Indoor Object Search Tasks. CoRR abs/1709.08831 (2017) - [i7]Ashwin Khadke, Manuela M. Veloso:
What Can This Robot Do? Learning from Appearance and Experiments. CoRR abs/1712.05497 (2017) - 2016
- [j83]Gary Marcus, Francesca Rossi, Manuela M. Veloso:
Beyond the Turing Test. AI Mag. 37(1): 3-4 (2016) - [j82]Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains. Big Data 4(4): 269-285 (2016) - [j81]Joydeep Biswas, Manuela M. Veloso:
The 1, 000-km Challenge: Insights and Quantitative and Qualitative Results. IEEE Intell. Syst. 31(3): 86-96 (2016) - [j80]James Bellingham, Howie Choset, Paolo Dario, Peer Fischer, Toshio Fukuda, Neil Jacobstein, Bradley J. Nelson, Manuela M. Veloso, Jeremy M. Berg
:
Science for robotics and robotics for science. Sci. Robotics 1(1) (2016) - [c349]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum:
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. AAAI 2016: 222-228 - [c348]Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven D. Klee, Danny Zhu, Manuela M. Veloso:
Selectively Reactive Coordination for a Team of Robot Soccer Champions. AAAI 2016: 3354-3360 - [c347]Rick Goldstein, Manuela M. Veloso:
Extendable Pantograph Arms. AAAI Spring Symposia 2016 - [c346]Juan Pablo Mendoza, Reid G. Simmons, Manuela M. Veloso:
Online Learning of Robot Soccer Free Kick Plans Using a Bandit Approach. ICAPS 2016: 504-508 - [c345]Rui Silva, Francisco S. Melo, Manuela M. Veloso:
Adaptive Symbiotic Collaboration for Targeted Complex Manipulation Tasks. ECAI 2016: 863-870 - [c344]Tiago Raul de Sousa Pereira
, Manuela M. Veloso, António Paulo Moreira
:
PA*: Optimal Path Planning for Perception Tasks. ECAI 2016: 1740-1741 - [c343]Tiago Raul de Sousa Pereira
, António Paulo Moreira
, Manuela M. Veloso:
Improving Heuristics of Optimal Perception Planning Using Visibility Maps. ICARSC 2016: 150-155 - [c342]Susana Brandão, João Paulo Costeira
, Manuela M. Veloso:
Combining 3D Shape and Color for 3D Object Recognition. ICIAR 2016: 481-489 - [c341]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Active sensing data collection with autonomous mobile robots. ICRA 2016: 2583-2588 - [c340]Stephanie Rosenthal, Sai P. Selvaraj, Manuela M. Veloso:
Verbalization: Narration of Autonomous Robot Experience. IJCAI 2016: 862-868 - [c339]Junyun Tay, I-Ming Chen
, Manuela M. Veloso:
Autonomous mapping between motions and labels. IROS 2016: 3333-3338 - [c338]Tiago Raul de Sousa Pereira
, Manuela M. Veloso, António Paulo Moreira
:
Visibility maps for any-shape robots. IROS 2016: 4205-4210 - [c337]Vittorio Perera, Sai P. Selvaraj, Stephanie Rosenthal, Manuela M. Veloso:
Dynamic generation and refinement of robot verbalization. RO-MAN 2016: 212-218 - [c336]Kim Baraka
, Stephanie Rosenthal, Manuela M. Veloso:
Enhancing human understanding of a mobile robot's state and actions using expressive lights. RO-MAN 2016: 652-657 - [c335]Philip Cooksey, Juan Pablo Mendoza, Manuela M. Veloso:
Opponent-Aware Ball-Manipulation Skills for an Autonomous Soccer Robot. RoboCup 2016: 84-96 - [c334]Danny Zhu, Manuela M. Veloso:
Virtually Adapted Reality and Algorithm Visualization for Autonomous Robots. RoboCup 2016: 452-464 - [c333]Jianmin Ji, Pooyan Fazli, Song Liu, Tiago Raul de Sousa Pereira
, Dongcai Lu, Jiangchuan Liu, Manuela M. Veloso, Xiaoping Chen:
Help Me! Sharing of Instructions Between Remote and Heterogeneous Robots. ICSR 2016: 786-795 - [p3]Daniele Nardi, Jonathan Roberts, Manuela M. Veloso, Luke Fletcher:
Robotics Competitions and Challenges. Springer Handbook of Robotics, 2nd Ed. 2016: 1759-1788 - [e9]Jeffrey O. Kephart, Stephanie Rosenthal, Manuela M. Veloso, Alex Rudnicky:
Symbiotic Cognitive Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Workshops WS-16-14, AAAI Press 2016 [contents] - 2015
- [j79]Vidal Alcázar, Susana Fernández
, Daniel Borrajo
, Manuela M. Veloso:
Using random sampling trees for automated planning. AI Commun. 28(4): 665-681 (2015) - [j78]Tekin Meriçli, Manuela M. Veloso, H. Levent Akin
:
Push-manipulation of complex passive mobile objects using experimentally acquired motion models. Auton. Robots 38(3): 317-329 (2015) - [j77]Tekin Meriçli, Manuela M. Veloso, H. Levent Akin
:
A Case-Based Approach to Mobile Push-Manipulation. J. Intell. Robotic Syst. 80(Supplement-1): 189-203 (2015) - [j76]Vittorio Perera, Robin Soetens, Thomas Kollar, Mehdi Samadi, Yichao Sun, Daniele Nardi, René van de Molengraft, Manuela M. Veloso:
Learning Task Knowledge from Dialog and Web Access. Robotics 4(2): 223-252 (2015) - [c332]Ravi Shroff, Yilong Zha, Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Indoor Trajectory Identification: Snapping with Uncertainty. AAAI Workshop: AI for Cities 2015 - [c331]Kim Baraka, Ana Paiva, Manuela M. Veloso:
Expressive Lights for Revealing Mobile Service Robot State. AAAI Fall Symposia 2015: 17-23 - [c330]Steven D. Klee, Guglielmo Gemignani, Daniele Nardi
, Manuela M. Veloso:
Graph-Based Task Libraries for Robots: Generalization and Autocompletion. AI*IA 2015: 397-409 - [c329]