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ORCIDManuela M. Veloso
Manuela Veloso
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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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]